<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="review-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1538871</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Advancements in the conservation of the conformational epitope of membrane protein immunogens</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mahboob</surname>
<given-names>Aisha</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2974919"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fatma</surname>
<given-names>Nishat</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2975344"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Faraz</surname>
<given-names>Ahmed</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2975218"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pervez</surname>
<given-names>Muntaha</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2975170"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Khan</surname>
<given-names>Mohammad Afeef</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2975509"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Husain</surname>
<given-names>Afzal</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2852322"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Biochemistry, Faculty of Life Sciences, Aligarh Muslim University</institution>, <addr-line>Aligarh</addr-line>, <country>India</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Saad Tayyab, UCSI University, Malaysia</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Nayoon Jang, Seoul National University, Republic of Korea</p>
<p>Amit Verma, Jamia Millia Islamia, India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Afzal Husain, <email xlink:href="mailto:afzal.bc@amu">afzal.bc@amu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1538871</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Mahboob, Fatma, Faraz, Pervez, Khan and Husain</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Mahboob, Fatma, Faraz, Pervez, Khan and Husain</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Generating antibodies targeting native membrane proteins presents various challenges because these proteins are often embedded in the lipid bilayer, possess various extracellular and intracellular domains, and undergo post-translational modifications. These properties of MPs make it challenging to preserve their stable native conformations for immunization or antibody generation outside of the membranes. In addition, MPs are often hydrophobic due to their membrane-spanning regions, making them difficult to solubilize and purify in their native form. Therefore, employing purified MPs for immunogen preparation may result in denaturation or the loss of native structure, rendering them inadequate for producing antibodies recognizing native conformations. Despite these obstacles, various new approaches have emerged to address these problems. We outline recent advancements in designing and preparing immunogens to produce antibodies targeting MPs. Strategies outlined here are relevant for producing antibodies for research, diagnostics, and therapies and designing immunogens for vaccination purposes.</p>
</abstract>
<kwd-group>
<kwd>immunogen</kwd>
<kwd>membrane protein</kwd>
<kwd>antibody</kwd>
<kwd>lipid bilayer</kwd>
<kwd>native structure</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="133"/>
<page-count count="15"/>
<word-count count="8160"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Vaccines and Molecular Therapeutics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The immune response is the defense mechanism of our body against substances it perceives as foreign or dangerous, generally marked as antigens (<xref ref-type="bibr" rid="B1">1</xref>). When the immune system detects an antigen, it attempts to attack and destroy the target molecule. The recognition molecules utilized by the immune system are either membrane-bound receptors or soluble proteins. This response has two key components, namely cellular immunity and humoral immunity. The former involves immune cells directly targeting and destroying non-self molecules, cancer cells, and whole pathogens, whereas the latter relies on B cells produced antibodies that bind to antigens, neutralizing them (<xref ref-type="bibr" rid="B2">2</xref>). B cells recognize solvent-exposed regions of an antigen, also called B cell epitope, that interact with both secreted and membrane-bound immunoglobulins (<xref ref-type="bibr" rid="B3">3</xref>). Based on their immunogenic potential B cell epitopes can be classified as immunodominant, immunogenic, and non-immunogenic (<xref ref-type="bibr" rid="B4">4</xref>). On the other hand, T cell epitopes are peptides derived from antigens, presented on the surface of antigen-presenting cells bound to MHC molecules, where the T cell receptor recognizes them. Most T cell epitopes are linear, whereas B cell epitopes can be either linear (10%) or conformational (90%). Therefore, preserving conformational epitopes while designing immunogens for raising antibodies is extremely important. Epitope identification in antigens is crucial for understanding disease mechanisms, immune monitoring, and designing epitope-based immunogens for both vaccines and developing antibodies for therapeutic, diagnostic, and research purposes (<xref ref-type="bibr" rid="B5">5</xref>). While several experimental approaches can identify B cell epitopes, including determining the three-dimensional (3D) structure of antigen-antibody complexes and screening peptide libraries for antibody binding, recently, B cell epitope prediction tools have also been developed (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>The ability of the immune system to produce specific and high-affinity antibodies against foreign antigens is harnessed for several purposes, including research and diagnostics, enabling the development of tools for detecting and analyzing biomolecules. This ability of immune system is also used in vaccination, where long-term disease prevention is achieved by stimulating the creation of memory cells and antibodies in response to exposure to a harmless form of an antigen (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Antibodies are indispensable for advancing our understanding of membrane protein's (MPs) structure, function, localization, transport, and interaction with various ligands (<xref ref-type="bibr" rid="B9">9</xref>). MPs account for over 20-30% of all cellular proteins encoded by the human genome and are essential for numerous cellular functions, including material transport, signal transduction, intercellular recognition, ligand-receptor binding, and cell adhesion, making them crucial therapeutic targets (<xref ref-type="bibr" rid="B10">10</xref>). MP can exist in various forms characterized by hydrophobic transmembrane spanning domain and including cell signaling receptors such as G protein-coupled receptors (GPCRs), ion channels, transporters, tight junction proteins, and signaling molecules, however, they remain underrepresented in Protein Data Bank, a worldwide repository for structural data (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). Advances in protein production and the secretion capacities of microbial hosts have positioned MPs at the forefront of therapeutic research, with MPs accounting for over 60% of current drug targets for various ailments (<xref ref-type="bibr" rid="B14">14</xref>). With the rapidly evolving nature of pathogens, as seen by SARS-CoV-2 during the pandemic, the efficient soluble production and study of MP domains involved in pathogenicity have become critical. The variations in the MPs that are target of the immune system against pathogens often possess characteristics that enable them to evade immune responses and antibody treatments, posing significant threats to public health. Since MP serves as a key entry point for critical molecules and pathogens, antibody production against MP immunogen has therapeutic advantages (<xref ref-type="bibr" rid="B15">15</xref>). MPs role in cellular interactions and pathogen recognition, when used as immunogens, can specifically elicit immune responses against pathogens. As a result, they hold significant potential for use in vaccine development and in generating antibodies for diagnostics and therapeutic applications. Despite numerous applications of antibodies in understanding MP biology, the structural intricacy of MPs makes it difficult to produce high-quality antibodies against them. It is challenging for MPs to retain their native conformation outside the membrane or their natural environment due to their hydrophobic regions that are naturally embedded in the lipid bilayer (<xref ref-type="bibr" rid="B16">16</xref>). Moreover, MPs only reveal a small fraction of their structure on the cell surface, which limits the accessibility of the epitopes available to generate antibodies (<xref ref-type="bibr" rid="B17">17</xref>). These restrictions make it more challenging to describe MPs and create efficient treatments targeting them thoroughly.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Different types of membrane proteins and their domains. Showing membrane protein structure and orientation within the lipid bilayer.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1538871-g001.tif"/>
</fig>
<p>Traditional methods for generating MP antibodies, such as immunization with reconstituted MP or peptides, face several drawbacks, such as limited 3D presentation of MPs, their instability in purified forms, and the restricted solvent exposure of accessible epitopes. Conformational epitopes, essential for functional antibodies, are frequently missed in peptide-based immunization, making these antibodies unsuitable for applications like MP co-crystallization (<xref ref-type="bibr" rid="B18">18</xref>). Exposure of MPs to non-native environments can induce conformational changes, leading to low-resolution structures and potential misinterpretation of their structure and function when isolated as pure proteins. Purification of MP such as GPCR, N-methyl-D-aspartate (NMDA) receptors, and epidermal growth factor receptor (EGFR) frequently disrupts the lipid-protein interactions, membrane anchoring, and dimerization necessary to maintain their active conformations. As a result, these proteins lose their structural integrity, making them unsuitable for immunization (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). For instance, <italic>Methanocaldococcusjannaschii</italic> S2P (MjS2P) protein crystallized in detergent showed multiple conformations, complicating the identification of its physiological structure (<xref ref-type="bibr" rid="B21">21</xref>). Similarly, &#x3b3;-secretase reconstituted in an amphipol A8-35, a class of amphiphilic polymers that make it possible to keep MP soluble in detergent-free aqueous solution, yielded a high-resolution structure, whereas detergent use resulted in lower resolution (<xref ref-type="bibr" rid="B22">22</xref>). Another bottleneck for generating antibodies against MPs is the lack&#xa0;of&#xa0;effective screening methods that utilize MPs in their native environment.</p>
<p>Recent advancements in technology have improved the strategies for immunogen designing and preparation while enhancing the efficiency of antibody production and screening. Development of new strategies relying on membrane-based and nanoparticle-based technologies, genetic immunization, and flow cytometry-based transfection have shown promising results in MP&#xa0;immunization and antibody development. In addition, advancements in computational methods have significantly enhanced immunogen design by enabling the analysis of protein sequences, structural modeling, and the assessment of immunogenicity and antigenicity. Artificial Intelligence (AI) based structural prediction tools, such as AlphaFold2, have shown great potential to improve immunogen design processes by providing more accurate structural prediction of MPs (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>This review outlines recent advancements in strategies for immunogen design for developing antibodies against MPs. Full-length MPs or their specific extra-cellular domains (ECDs) can be purified in their native form or reconstituted into desired membrane mimetics for use as immunogens. The commonly used membrane mimetics are categorized into two approaches: detergent- and nanoformulation-based strategies, which use purified proteins; and membrane-based strategies, which express the target Protein in its native lipid environment and avoid protein purification. The immunogen design and preparation strategies discussed here are crucial for producing antibodies for research, diagnostics, therapeutic applications, and designing immunogens for vaccination purposes.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Stabilizing the conformation of purified proteins</title>
<p>Soluble proteins have long been used as antigens to immunize animals to generate antibodies as they are easy to produce and stimulate both humoral and cell-mediated immunity. Many factors influence the use of soluble proteins as immunogens; the most crucial is their inability to retain their native conformation and function during the purification and preparation of immunogens, which is essential to produce antibodies that recognize the native proteins (<xref ref-type="bibr" rid="B24">24</xref>). The successful production of antibodies using any method will depend on the accessibility of epitopes on the target MP. However, using full MP as an immunogen is considered more suitable for producing antibodies than focusing on the ECD because full MP may present unique conformational epitopes that are not accessible or lose their native structure in truncated extracellular fragments. Moreover, ECD also result in low immunogenicity because of their conserved sequence (<xref ref-type="bibr" rid="B25">25</xref>). In most cases, MPs are purified using recombinant methods and extracted using detergents to solubilize the proteins in detergent micelles (<xref ref-type="bibr" rid="B26">26</xref>). To keep MP in its native environment, purified proteins are incorporated into liposomes to form proteoliposomes. Although detergents, micelles, and liposome-based methods are extremely helpful for solubilization and stabilization of MPs for immunogen generation, these approaches come with their own notable limitations. For instance, detergents and micelles often ablate critical protein-lipid interactions due to their inability to mimic the native lipid environment. Similarly, despite the closeness of liposome-based methods in mimicking natural lipid bilayers, they present challenges due to the aggregation tendency of the membrane, making it difficult to obtain proteoliposomes in a homogenous and stable state (<xref ref-type="bibr" rid="B27">27</xref>). Another approach to assemble and stabilize the membrane structure involves incorporating detergent-solubilized and purified MPs into nanoparticles such as nanodiscs, Saposin lipid nanoparticles (SapNPs), and Styrene-maleic acid-lipidparticles (SMALPs) into an artificial bilayer mimicking the native environment (<xref ref-type="bibr" rid="B28">28</xref>). In addition, nano-based platforms also facilitate antibody discovery, validation, and characterization through ELISA and surface plasmon resonance.</p>
<sec id="s2_1">
<label>2.1</label>
<title>Detergent micelles</title>
<p>MP solubilization, an essential step for antigen generation, requires masking the hydrophobic surface of integral MPs (<xref ref-type="bibr" rid="B29">29</xref>). This can be achieved by micelles which are spherical structures generated by the self-assembly of amphipathic molecules such as surfactants or lipids in aqueous media. They have a hydrophobic core and a hydrophilic outer shell, allowing them to contain hydrophobic molecules within their core. Micelles are highly effective in solubilizing MPs with broad hydrophobic surfaces that are otherwise difficult to retain in solution. Immunization with micelle protein complex, sometimes integrated with adjuvant, elicits an effective immune response (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Advances in MP purification utilizing protein-detergent micelles have been fueled by the development of more efficient detergents, such as neopentyl glycols (<xref ref-type="bibr" rid="B30">30</xref>). But as the use of detergents has increased in recent years, the obstacles they pose during antibody generation are also being highlighted. The detergents with longer hydrophobic acyl chains are the most stabilizing, but they mask the ECD, which prevents immune response against the masked region. Moreover, after immunization, detergents may dissociate from MP, thus resulting in denaturation and possible conformational epitope loss. Introducing point mutations into the transmembrane helices of proteins is a strategy to overcome the normally low stability of complex MPs in detergent micelles (<xref ref-type="bibr" rid="B31">31</xref>). Employing specific point mutations can result in very stable MPs that continue to function in detergent micelles even with short acyl chains. A technique developed by Heptares therapeutics referred to as stabilized receptors or StaR has employed the thermo-stabilized &#x3b2;1-adrenergic receptor in a StaR boost configuration to isolate agonist antibodies and negative allosteric modulators (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Detergents and nanoformulations-based strategies for preparing membrane protein immunogens using purified proteins. Membrane protein solubilization and purification can be achieved with or without using detergent as an antigen. Mixing detergent-purified protein with lipids into different formats helps in immunization. <bold>(A)</bold> Detergents extract hydrophobic membrane proteins from the plasma membrane by forming micelles. <bold>(B)</bold> Liposomome-based reconstitution of membrane protein. <bold>(C)</bold> Wrapping the lipid bilayer with membrane scaffold protein to form nanodisc. <bold>(D)</bold> Peptidiscs are formed by wrapping with a lipid-bilayer by peptides such as 37-amino acid amphipathic ApoA1-mimetic peptide. <bold>(E)</bold> Saposin A protein is used as a Scaffold Protein to form SapNPs. <bold>(F)</bold> A Detergent-free method that relies on SMA co-polymer form SMALPs. MP, Membrane Protein; SapNP, Saposin lipid Nanoparticle; SMA, Styrene-Maleic Acid; SMALPs, Styrene-Maleic Acid Lipid Particles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1538871-g002.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Proteoliposome</title>
<p>Reconstitution into liposomes is a common method for the functional characterization of MP. The lipid environment is essential for maintaining complex MPs&#x2019; correct conformation and function. Liposomes, which mimic natural cell membranes with their lipid bilayer structure, are commonly used as they can encapsulate and transport membrane-associated molecules (<xref ref-type="bibr" rid="B33">33</xref>). Typically, liposomes form through self-assembling pure lipids or lipid mixtures (<xref ref-type="bibr" rid="B34">34</xref>). MP from various pathogens are being assessed to be incorporated into liposomes as potential vaccines. When compared to detergent-extracted MP, proteoliposomes provide more native-like lipid configuration to complex MPs, enhancing immunogenicity. Liposomes can fuse with the plasma membrane to deliver the antigen directly into cells, allowing it to be processed via the endogenous pathway and thereby eliciting Cytotoxic T Lymphocytes responses (CTL). Overexpressing recombinant MPs in conventional cellular systems can be challenging due to&#xa0;insufficient membrane insertion, precipitation of newly synthesized proteins, or cytotoxic effects caused by significant disruptions to the host cell&#x2019;s metabolism. Considerable time and effort are required to optimize cell culture conditions, stabilize and solubilize the target MP, purify it, and successfully reconstitute it into proteoliposomes. This system has been used to produce highly effective antibodies targeting the human M2 muscarinic acetylcholine receptor and CCR5 receptor (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>Another approach to preparing liposomes integrated with MP relies on cell-free translation system. When liposomes are added to a cell-free translation system, the synthesized MP integrates directly into the liposomal lipid membrane, eliminating the need for laborious steps like MP purification and proteoliposome reconstitution (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>) (<xref ref-type="bibr" rid="B36">36</xref>). A further modification of the cell-free system incorporates adjuvant-containing liposomes with monophosphoryl lipid A (MPLA), which adjusts the lipid composition to improve the reproducibility and stability of MPs. Additionally, this system produces large amounts of MP antigens, with MPLA acting as a toll-like receptor 4 agonist to enhance antibody production by stimulating B cells (<xref ref-type="bibr" rid="B37">37</xref>). However, preparing proteoliposomes for immunization presents significant challenges, including reconstituting detergent-solubilized MPs into liposomes with correct orientation or directly incorporating MPs produced in cells into the liposome structure. Despite these technical difficulties, proteoliposome immunization remains a valuable method for MP immunization.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Nanodiscs</title>
<p>Nanodiscs rely on scaffold proteins and phospholipids to assemble a bilayer that closely resembles the native environment of the MP (<xref ref-type="bibr" rid="B28">28</xref>). The nanodisc platform was originally conceptualized as a lipid bilayer stabilized by a hydrophobic belt formed by two copies of amphipathic membrane scaffold proteins (MSPs) (<xref ref-type="bibr" rid="B38">38</xref>). MSP self-assembles around the MP in the presence of a lipid, capturing the protein associated with the lipid in the process. SpyCatcher-SpyTag technology is one of the recent advances in MSP engineering, leading to a tenfold higher yield in protein extraction (<xref ref-type="bibr" rid="B39">39</xref>). As nanodiscs preserve the structural and functional integrity of the MPs, they provide an interesting approach to developing MP immunogens for antibody generation. In order to prepare a nanodisc-based MP immunogen, the detergent-solubilized MP is incorporated into nanodiscs, which are prepared by assembling lipids such as POPC (1-palmitoyl-2-oleoyl-sn-glycerol-3-phosphocholine) or POPE (1-palmitoyl-2-oleoyl-sn-glycerol-3-phosphoethanolamine) and MSP Apolipoprotein A1 (ApoA1), or its derivatives such as MSP1D1, MSP1E3D1, MSP1D1&#x394;H5, and MSP2N2 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). Following validation, the resulting nanodisc-protein complex is formulated with an adjuvant to maintain stability and enhance the immune response. Nanodiscs incorporated with MPs have been successfully used to generate antibodies against the human apelin receptor (APLNR), immune checkpoint targets like PD-L1, ion channels like K<italic>v</italic>v1.3, (<xref ref-type="bibr" rid="B39">39</xref>) and Influenza virus proteins matrix-2 and hemagglutinin, resulting in the increased specificity and affinity of the generated antibodies (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B40">40</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Peptidiscs</title>
<p>Peptidisc, an alternative to nanodiscs, developed by Duong et&#xa0;al., is composed of short amphipathic peptides, such as the 37-amino acid ApoA1-mimetic peptide known as the nanodisc scaffold peptide (<xref ref-type="bibr" rid="B41">41</xref>). These peptides encircle and embed MPs within a lipid bilayer, mimicking the natural membrane environment (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>) (<xref ref-type="bibr" rid="B42">42</xref>). Peptidiscs can reconstitute MPs of varying sizes and topologies from prokaryotes and eukaryotes, offering a distinct advantage over nanodiscs (<xref ref-type="bibr" rid="B41">41</xref>). Peptidiscs are particularly advantageous because they provide a more stable and native-like setting for MPs, which are often unstable outside their natural environment. This stability makes them ideal for structural and functional studies, including X-ray crystallography, cryo-electron microscopy (cryo-EM), and drug screening. Despite the potential of nanodiscs for MP stabilization, they face challenges like limited size range, difficulty incorporating large proteins, and complicated preparation. Peptidiscs address these limitations of nanodiscs by using a flexible peptide scaffold that can accommodate even larger proteins with simplified preparation and improved stability.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Saposin lipid nanoparticles</title>
<p>Saposin-based nanoparticles (SapNPs), a new alternative tool for MP stabilization, are a class of nanoparticles derived from saposins (SapA), which are small lipid-binding proteins, forming nanodisc-like structures around MPs. In SapNPs, an MP integrated into a lipid bilayer is enclosed by multiple copies of SapA proteins, which preserves their structural and functional integrity (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2E</bold>
</xref>) (<xref ref-type="bibr" rid="B43">43</xref>). The flexibility of the SapA scaffold and its ability to adapt to the size of target MPs, accommodating the variable transmembrane regions within the SapNPs, make it an attractive alternative to nanodiscs (<xref ref-type="bibr" rid="B43">43</xref>). SapNPs solubilized MPs are used for both immunizations, enabling the immune system to produce specific antibodies against the delivered protein antigens and probes to sort antigen-specific B cells and for <italic>in vitro</italic> high throughput screening experiments (<xref ref-type="bibr" rid="B44">44</xref>). SapNPs incorporating malaria antigens have demonstrated the ability to elicit strong antibody responses. These nanoparticles help in better antigen stability and targeted delivery, enhancing immunogenicity against malaria. In cancer vaccine research, SapNPs have been used to deliver tumor-associated antigens. The adjuvanticity of SapA boosts the immune system&#x2019;s ability to recognize and produce antibodies against these antigens, aiding in tumor rejection (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>Based on the success of nanoparticle-based membrane solubilization methods, Salipro Biotech has pioneered the development of saposin-based membrane solubilization systems such as Direct MX for the stabilization of MPs in their native lipid environment (<xref ref-type="bibr" rid="B46">46</xref>). This method is advantageous because it relies on mild detergent, which preserves weakly associated MPs, helping maintain their native interactions. Like nanodiscs and SMALPs, the Salipro platform has been successfully applied to a wide range of targets, including GPCRs, ion channels, and other integral MPs, facilitating breakthroughs in drug discovery and antibody development.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Styrene-maleic acid lipid particles</title>
<p>SMALPs are similar to nanodiscs as they both utilize lipid-based systems to stabilize MPs in a native-like environment. However, unlike nanodiscs, which utilize MSPs to stabilize lipid bilayer, the bilayer in SMALPs is stabilized by an amphipathic styrene-maleic acid (SMA) copolymer. The copolymer inserts into the membrane and extracts a patch of the bilayer along with the embedded MP, creating a lipid particle around the protein (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2F</bold>
</xref>) (<xref ref-type="bibr" rid="B47">47</xref>). Unlike nanodisc, SMALPs offer a detergent-free approach to solubilizing MPs and are particularly advantageous for working with larger MPs (<xref ref-type="bibr" rid="B48">48</xref>). Similar to nanodiscs, SMALPs have been used to prepare immunogen for antibody production through the preservation of MPs in their natural state. The transmembrane influenza matrix-2 protein, for instance, was integrated into SMALPs, allowing the target domain to be isolated for antibody production. Using this method, a number of antibodies against the cytoplasmic domain of M2 were effectively generated and verified (<xref ref-type="bibr" rid="B49">49</xref>). SMALPs have also been utilized in research on human C-type lectin-like receptor 2 (CLEC-2), enabling activation for the production of antibodies (<xref ref-type="bibr" rid="B50">50</xref>). This illustrates the adaptability of SMALPs in producing antibodies against MP targets.</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Computer-aided peptide-based immunization</title>
<p>Using peptides for immunization not only alters the need to produce full-length proteins but also directs antibodies to the particular epitopes of interest (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). The peptide-based immunization strategy often depends on synthesizing peptides with short sequences corresponding to the extracellularly exposed portions of MPs or expressing the same regions as fusion proteins or soluble proteins (<xref ref-type="bibr" rid="B53">53</xref>). Therefore, peptide-based immunization eliminates the need to purify the entire MP. However, the linear shape of short peptides may lead to discovery of antibodies that do not recognize the native structure of proteins or conformational epitopes unless antibody screening is carried out using native proteins. This problem can be partially resolved by using cyclic or conformationally constrained peptides, which may help retain specific secondary structures by restricting the peptide flexibility, thereby resulting in antibodies recognizing conformational epitopes (<xref ref-type="bibr" rid="B54">54</xref>). PEPSCAN recently developed a process known as the chemical linkage of peptides onto scaffolds (CLIPS) that enables the synthesis of mono, di, or tricyclic limited peptides. This technique facilitates the production of conformation-specific antibodies and has been successfully applied to produce functional anti CXCR2 antibodies (<xref ref-type="bibr" rid="B55">55</xref>).</p>
<p>Peptide based immunization also allows raising antibodies against post-translational modifications (PTMs) of MPs. PTMs such as phosphorylation, glycosylation, and acetylation can be added to create synthetic peptides that mirror the protein&#x2019;s native state, increasing the chance of developing high-affinity, functional antibodies against MPs (<xref ref-type="bibr" rid="B56">56</xref>). The conventional approach to immunogen designing involves large proteins or whole organisms that lead to an unnecessary antigenic load and induce the chances of allergy (<xref ref-type="bibr" rid="B57">57</xref>). This can be avoided by using peptide-based immunogen comprising short immunogenic peptide fragments, capable of evoking strong and targeted immune responses, thereby avoiding the chances of the allergenic response (<xref ref-type="bibr" rid="B58">58</xref>). However, the design of peptide-based immunogens for MPs is a challenging task due to the unique structural characteristics of MPs, particularly their hydrophobic regions and complex topologies (<xref ref-type="bibr" rid="B59">59</xref>).</p>
<p>Computational approaches have emerged as powerful tools to address these challenges, enabling the rational design of immunogens that can evoke a targeted immune response. Computational approaches for epitope prediction can facilitate the selection of both linear and conformational epitopes from trans MPs, paving the way for their development into peptides and soluble proteins suitable for use as antigens in antibody production help in identifying immunogenic regions within MPs (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) (<xref ref-type="bibr" rid="B60">60</xref>). Recent advancements in computational immunology, particularly in immuno-informatics and structural bioinformatics, have significantly enhanced our ability to identify promising epitopes on MPs (<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B62">62</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Computer-aided peptide-based immunization strategy. A computational analysis approach is used to develop the peptide-based immunogen that presents ideal features for antibody development. In this approach, first identification and selection of the membrane protein-specific region that will be immunogenic. Immunogenic peptide determination is via antibody interaction and multi-epitope construction, followed by bioinformatic tools and algorithms for testing antigenicity, and physicochemical profiling. Epitopes can then be optimized to best display their antigenic potential.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1538871-g003.tif"/>
</fig>
<p>A critical strategy in the design of peptide-based immunogens is the identification of surface-exposed epitopes, which are required for producing antibodies capable of recognizing and neutralizing native MPs. Tools such as the VaxiJen v2.0 server are used to predict antigenicity by analyzing the physicochemical properties of protein sequences (<xref ref-type="bibr" rid="B63">63</xref>). In contrast, AllerTOP v2.0 server is used to distinguish the designed peptide, the immunogenic one, and the non-immunogenic one. These tools enable the screening of a large number of peptide candidates to identify peptides that are more likely to generate immune responses without causing adverse reactions (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>).</p>
<p>Traditional methods of epitope identification often rely on protein structures and need to account for the membrane context of proteins. A computational technique such as AlphaFold2 provides a massive transformational advantage over the existing methods (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B66">66</xref>). AlphaFold2 utilizes the deep-learning algorithm that helps to determine the exact 3D structures of proteins, including the MPs, which are notoriously very challenging to study experimentally. AlphaFold also enhances the precision of predicting surface exposed epitopes in MPs, which is vital for eliciting a robust immune reaction with the accurate model. This capability greatly simplifies the immunogen design process by reducing reliance on experimental techniques and improving epitope prediction precision (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>). Although many computational techniques have been created to help in B-cell epitope prediction because experimental methods are expensive and time-consuming. At first, sequence-based techniques were the mainstay of these techniques. But with recent developments in protein structure prediction&#x2014;like the innovation made by AlphaFold2&#x2014;structure-based methods have also become strong substitutes to predict B cell epitope. GraphBepi is one such structure-based tool that leverages the advancements in protein structure prediction to improve the accuracy of B-cell epitope identification (<xref ref-type="bibr" rid="B69">69</xref>). Additionally, applications such as RoseTTAFold2 and ESMFold also help in modeling the structure of integral MP (<xref ref-type="bibr" rid="B70">70</xref>). The peptide-based immunogen formulations are further advanced through innovative methods, such as the design of multi-peptide epitopes derived from various regions of the target protein (<xref ref-type="bibr" rid="B71">71</xref>). Additionally, various tools available at the Immune Epitope Database can be employed to predict the immunogenicity scores of single or multi-epitope constructs, enabling the development of immunogens capable of eliciting robust and diverse immune responses (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>).</p>
<p>By predicting the most promising epitopes and ensuring they are non-toxic, non-allergenic, and well presented on MHC, computational methods help optimize the design of immunogens that can raise antibodies capable of recognizing native structure of MPs. For example, the peptide-based epitope &#x201c;YLQPRTFLL&#x201d; is located within the receptor binding domain (RBD) of SARS-CoV-2 spike glycoprotein, a trans membrane-associated protein crucial for viral entry through its RBD. The computational tools and algorithms predicted that this peptide possesses a high binding affinity to a prevalent HLA a, suggesting its potential to provoke a vigorous CTL (<xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B75">75</xref>). In addition, leveraging AlphaFold2 simplifies and accelerates the workflow by effectively forecasting the configuration of MP, which facilitates the logical choice of epitopes that are more likely to provoke robust and targeted immune responses (<xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B77">77</xref>). The innovations in the computational design of immunogens and advanced structural prediction technologies such as AlphaFold2 signify a transformative change in developing vaccines and therapeutic antibodies targeting the MPs (<xref ref-type="bibr" rid="B66">66</xref>). The ability to efficiently design peptide-reduced risk of adverse immune responses offers promising prospects for the future of immunotherapy and vaccine development.</p>
</sec>
<sec id="s4">
<label>4</label>
<title>Membrane-based immunogen preparations</title>
<p>MPs either partially interact with or are fully embedded within the cellular membrane, characterized by their hydrophobic transmembrane domains, which cause them to aggregate, particularly when misfolded (<xref ref-type="bibr" rid="B78">78</xref>). Therefore, micelles, cell membranes mimicking lipid bilayer systems, or polymers are often necessary to solubilize and stabilize MPs. These methods enable more precise immune responses by maintaining the function and stability of MPs. The key membrane-based immunization strategies to produce anti-membrane antibodies are described below.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Whole-cell immunization</title>
<p>Whole-cell immunization effectively generates antibodies against MPs by expressing them in their native conformation on the cell surface to overcome the challenges of <italic>in vitro</italic> antigen preparation, making them suitable for a wide range of applications. Preparing pure, homogeneous, and conformationally stable MP antigens from plasma membranes is challenging. Hence, whole-cell antigen presentation preserves the MP in a native environment with correct and functional folding. In this approach, cells are engineered to express the MP of interest and are subsequently used to immunize animals (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Whole-cell immunization targets relevant functional epitopes of MPs that play essential physiological roles, helping the immune system to produce accurate antibodies. A key challenge with whole-cell immunization is the limited expression of MPs on the cell surface, which often necessitates strategies for their overexpression. Recent developments of flow cytometry-based transfection strategies such as MaxCyte flow electroporation efficiently express and isolate cell expression target proteins that are otherwise difficult to express (<xref ref-type="bibr" rid="B79">79</xref>). Such a strategy can achieve a transfection efficiency of up to 2 &#xd7; 10<sup>11</sup> cells without significant loss of viability to create stable cell lines (<xref ref-type="bibr" rid="B79">79</xref>). Such advanced strategies can successfully transfect and isolate cells even when the transfection efficiency is very low (<xref ref-type="bibr" rid="B80">80</xref>). Since most MP do not exist in abundance, overexpressing relevant epitopes in an expression system can increase the chances of immunogenicity.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Native membrane-based strategies to express and prepare membrane protein immunogens. <bold>(A)</bold> Whole cells overexpressing the target membrane protein of interest can be used as immunogens. The whole cell&#x2019;s entire proteome is injected into the host cell&#x2019;s body, which considers it non-self and develops an immune response. <bold>(B)</bold> VLPs are produced by co-expressing the target antigen with viral capsid protein in the mammalian expression system. The capsid protein self-assembles at the plasma membrane, where the membrane protein of interest is overexpressed and buds off to form a VLP that serves as an immunogen for delivery into a host cell. <bold>(C)</bold> The target membrane protein gene segment is integrated with the phage genome, expressed on the phage coat. The phage displayed with the target membrane protein is encapsulated in an emulsion droplet to immunize the host. VLP, Virus-like particle.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1538871-g004.tif"/>
</fig>
<p>Whole-cell immunization has successfully generated antibodies against various MPs, such as the HER2 protein in breast cancer and GPCRs. A monoclonal antibody 4D5, targeting the ECD of the HER2 protein, effectively inhibits the growth of HER2 overexpressing breast tumor cells and enhances their sensitivity to TNF-&#x3b1; (<xref ref-type="bibr" rid="B18">18</xref>). Immunizing with cells that express membrane peptides or proteins has successfully generated antibodies that modulate the function of ion channels, or GPCRs (<xref ref-type="bibr" rid="B51">51</xref>). For example, researchers generated antibodies against GPCR 5 by co-transfecting cells with the receptor peptide and receptor activity-modifying proteins, enabling the expression of the MP region. In contrast, antibodies targeting ion channels like Orai-1 and P2X7 have been developed for treating autoimmune and inflammatory diseases, respectively (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>). Bacterial ghost platforms, consisting of intact bacterial cell envelopes emptied of their contents, are also utilized to express or deliver various antigens, plasmid DNA encoding protein epitopes or present MP for immunization. The ghost vaccine method serves as an efficient carrier platform, addressing the potential poor immunogenicity of protein subunits and DNA-encoded antigens by effectively delivering them to antigen-presenting cells (<xref ref-type="bibr" rid="B83">83</xref>). Noncapsular bacterial endotoxin surrounding some bacteria can also be used to elicit an immune response. For example, to combat <italic>Klebsiella pneumoniae</italic> infections, a natural conjugate was developed by combining the bacterium&#x2019;s O-antigen, a surface component that triggers an immune response, with bacterial outer MPs to strengthen the immune response (<xref ref-type="bibr" rid="B84">84</xref>). Although whole-cell immunization approach holds great potential, developing stable cell lines that express MPs at sufficient levels requires significant time and effort. However, once established, a single cell can be clonally expanded to consistently produce high MP levels, which researchers can use for antibody production and store indefinitely (<xref ref-type="bibr" rid="B85">85</xref>). Human Embryonic Kidney 293 (HEK-293) cells (<xref ref-type="bibr" rid="B86">86</xref>) and insect cells are commonly used to generate transient and stable expression systems to overexpress MPs. Whole-cell immunization using an engineered cell line is helpful for MPs that are challenging to isolate or purify, as it allows MPs to remain in their natural conformation on the cell surface (<xref ref-type="bibr" rid="B45">45</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Virus-like particle</title>
<p>In addition to other lipid bilayer-based membranous formats, besides proteoliposomes and nanodiscs, which resemble native biological membranes, including virus-like particles (VLPs) (<xref ref-type="bibr" rid="B87">87</xref>). As MPs are typically present in low quantities in their natural hosts, it is necessary to overexpress them in heterologous systems for sufficient production. VLPs are hollow structures consisting of a viral core protein encapsulated by portions of the cell membrane with MPs and receptors expressed in their native conformation. VLPs mimic the native structure of viruses but are non-infectious due to the absence of viral genetic material (<xref ref-type="bibr" rid="B88">88</xref>). These vesicular structures, typically 20 to 200 nm in diameter, are enriched with the MP of interest up to 100-fold and can be generated from a cell population that overexpresses the protein on its surface (<xref ref-type="bibr" rid="B89">89</xref>). The VLPs are produced by transfecting insect or mammalian cells with the retroviral core protein (gag) expression vectors. The capsid protein produced from the transfected vector spontaneously self-assembles to form VLPs. As gag protein naturally assembles at the plasma membrane and buds off from host cells that overproduce the target MP, VLPs displaying MP of interest (MP-VLPs) can be produced by co-expression of gag protein with the MP of interest (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>) (<xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B90">90</xref>). A key step in successful VLP production is selecting the appropriate expression host system. The choice of an ideal system depends on various factors, such as the specific target, required quantity, and intended downstream applications.</p>
<p>There are several benefits to using VLPs for phage display (<xref ref-type="bibr" rid="B91">91</xref>). Compared to other carriers, VLPs offer a higher density of foreign proteins per particle and maintain a unique 3D structure, which is crucial for presenting conformational epitopes. As compared to whole cells, VLPs can provide a high concentration of target MP with fewer host cell MPs. VLPs can also be stored for prolonged periods at -80&#xb0;C without significant degradation or loss of functionality when compared with other membrane-based formats (<xref ref-type="bibr" rid="B92">92</xref>). Due to the viral gag protein functioning both as an adjuvant and in VLP formation, the use of external adjuvants or toxins to enhance immunogenicity is not required. Preserving MPs in their natural phospholipid bilayer in a conformationally stable state is a significant advantage of this strategy, making VLPs suitable for both immunizations as well as antibody screening and validation (<xref ref-type="bibr" rid="B93">93</xref>). VLPs have been successfully used for both vaccination and antibody production for diagnostic purposes. For example, neuraminidase containing N1 VLP derived from the H1N1 influenza virus, when immunized in mice, induced virus-specific antibodies as well as reduced NA inhibition activity (<xref ref-type="bibr" rid="B94">94</xref>). The E protein of the Zika virus (specifically domain ED-II), the E2 protein of the chikungunya virus, and the L1 or L2 proteins of the human papillomavirus are utilized as antigens in VLP vaccines (<xref ref-type="bibr" rid="B95">95</xref>, <xref ref-type="bibr" rid="B96">96</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Phage emulsion technique</title>
<p>The use of bacteriophages, viruses that infect bacteria, as direct immunogens are very well understood, but their use as a tool to generate antibodies indirectly acting as a carrier is also crucial. The phage display technique is based on genetically altering the phage DNA to allow the expression of a segment of peptide or protein on the phage surface (<xref ref-type="bibr" rid="B97">97</xref>). The DNA sequence of the protein of interest is inserted near the nucleotide sequence, which encodes for one of the phage coat proteins. Following phage infection, the inserted peptide or protein is displayed on the phage surface as a combined product of the genes generating the coat protein and the cloned protein (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>) (<xref ref-type="bibr" rid="B98">98</xref>).</p>
<p>The phage emulsion technique is a well-adapted version of the phage display technique for antibody generation. This method involves integrating a protein, peptide, or even synthetic epitope on the surface of bacteriophages and mixing them with an aqueous-organic phase system to form a stable emulsion. The bacteriophage emulsion complex is further used for immunization. The bacteriophage particles are effective carriers that closely resemble natural infections by displaying the associated antigens in a 3D conformation (<xref ref-type="bibr" rid="B99">99</xref>). The immune system perceives the phages as foreign particles and immediately starts an, immune response against the antigen they display. The emulsification procedure is crucial to create a stable environment for antigen and bacteriophage association. Thus, the antigen&#x2019;s exposure to the immune system is prolonged, leading to a robust immune response and antibody generation (<xref ref-type="bibr" rid="B100">100</xref>). This method offers a strong foundation for creating new immunogens and vaccines and studying the relationships between specific antigens and the immune system (<xref ref-type="bibr" rid="B101">101</xref>). Phage micro-emulsion technology provides many essential benefits over existing phage-display techniques. One benefit is that each clone&#x2019;s signal is enhanced because all phage copies are contained in a single droplet (<xref ref-type="bibr" rid="B102">102</xref>). However, there are still many challenges to the phage emulsion technique, such as difficulty in emulsion formation utilizing complex MPs as targets, high cost, etc. (<xref ref-type="bibr" rid="B103">103</xref>), which future research is expected to address. The filamentous phages are generally employed in the phage emulsion technique, but recently, various other bacteriophages are being modified, such as lytic phages, which can display more prominent antigens with their ability to carry larger foreign DNA fragments (<xref ref-type="bibr" rid="B104">104</xref>).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Exosomes</title>
<p>Exosomes are extracellular vesicles that carry a variety of cellular components, including DNA, RNA, MP, lipids, and both cytosolic and cell-surface proteins. Membranous nanovesicles, typically 50-100 nm in diameter, form within late endosomal compartments through the invagination of multivesicular bodies (MVB) membranes. The endosomal membranes involved in their formation are known as intraluminal vesicles (ILVs). Mature MVBs undergo exocytosis to release ILVs as exosomes into the extracellular environment after fusing with the plasma membrane (<xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B106">106</xref>). As a result of this formation process, exosomes have a membrane orientation similar to the native plasma membrane, with ECDs facing outward and cytosolic proteins, along with small RNAs, enclosed within the lumen. After their secretion, exosomes protect their cargo and deliver it to the recipient cells by endocytosis or fusion without compromising the intrinsic function of the cargo (<xref ref-type="bibr" rid="B107">107</xref>). These exosomes involve cell-to-cell communication, immune response modulation, and intercellular signaling and are of high pathophysiological relevance in various diseases, including cancer (<xref ref-type="bibr" rid="B108">108</xref>, <xref ref-type="bibr" rid="B109">109</xref>).</p>
<p>Exosomes offer several advantages as immunogens in anti-MP antibody production, including the lack of need for sequence modification, preservation of the native membrane environment, high intrinsic immunogenicity that elicits strong immune responses, and excellent stability for both short and long term storage. Additionally, exosomes do not require adjuvants and exhibit minimal cytotoxicity. Intracellular exosomes can be isolated and used to deliver proteins and RNA from other cells into ex vivo cell cultures. Exosomes can be purified from <italic>in vitro</italic> cultures of various cell types and can be loaded with a diverse range of biological molecules, including cytosolic proteins, membrane receptors, and nucleic acids (<xref ref-type="bibr" rid="B110">110</xref>).</p>
<p>MP bearing exosomes have successfully contributed to the development of numerous anti-GPCR antibodies (<xref ref-type="bibr" rid="B111">111</xref>, <xref ref-type="bibr" rid="B112">112</xref>). Notably, exosomes secreted from dendritic cells, known as dexosomes, demonstrate exceptional immune capabilities <italic>in vivo</italic> (<xref ref-type="bibr" rid="B113">113</xref>). An extracellular vesicle-based technology enables the selective recruitment of viral membrane antigens containing WW domains onto the surface of WW domain&#x2013;activated extracellular vesicles (WAEVs). By fusing viral MPs or peptides to WW domains, MP antigens can be efficiently displayed on the surface of WAEVs, eliciting robust antibody production that explicitly targets the corresponding viruses. This approach likely preserves the natural conformation of MPs, as specific antibodies, including neutralizing antibodies, recognize them (<xref ref-type="bibr" rid="B114">114</xref>). A newer approach in membrane engineering involves hybrid exosomes formed by merging exosome membranes with liposomes through the freeze-thaw method (<xref ref-type="bibr" rid="B115">115</xref>). The exosome liposome fusion technology is promising for loading therapeutic compounds into exosomes, making it easier for MPs to be incorporated into the exosomes. However, limitations of using exosomes for anti-MP antibody production include limited yield, purity issues, heterogeneity, complex production processes, and potential regulatory challenges.</p>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>Genetic immunization</title>
<p>The genetic immunization approach, involving DNA and mRNA immunization, relies on expression vectors or utilizes synthetic mRNA sequences to produce encoding the target immunogen peptides or proteins directly within the host. These expression vectors or mRNA are typically delivered to the host intradermally through various methods such as injection of naked DNA or mRNA using a simple needle or biolistic delivery of DNA-coated particles into dermal cells, transdermal patches, and electroporation-based and viral-based methods (<xref ref-type="bibr" rid="B116">116</xref>&#x2013;<xref ref-type="bibr" rid="B118">118</xref>). Each of these studies used DNA of mRNA sequences encoding for soluble proteins or the soluble domains of membrane-anchored proteins (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Genetic immunization overcomes the problem associated with peptide or protein-based immunization for antibody production against MPs because the gene-immunized host naturally produces, folds, and alters the MP antigen in its natural membrane context.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>DNA-based immunization to generate membrane protein antibodies. DNA encoding membrane protein can be introduced directly into a host, allowing it to express the intact immunogens and generate antibodies against it.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1538871-g005.tif"/>
</fig>
<p>One of the challenges of traditional protein-based immunization is the production of full-length MP immunogens in their native, membrane-associated form using recombinant protein techniques. The problem is even more significant, particularly for proteins like multispanning transmembrane proteins such as GPCRs and ion channels. DNA immunization overcomes these obstacles by enabling <italic>in vivo</italic> expression of full-length proteins, eliciting a targeted immune response against the MP by directly delivering DNA to cells, and inducing the formation of the desired proteins, effectively turning the cells into a source of antigen production to stimulate an immune response (<xref ref-type="bibr" rid="B118">118</xref>). DNA-based immunization for SARS-CoV-2 envelope and MPs in mice, provided protection against the disease (<xref ref-type="bibr" rid="B119">119</xref>). DNA expression vectors coated with gold particles injected into shaved and depilated skin cells of camelid using gene gun delivery methods expressed MP on transfected cells and led to the generation of nanobodies targeting MPs (<xref ref-type="bibr" rid="B120">120</xref>). RNA immunization reduces the risk of DNA integration into the host genome by directly delivering the target protein to the cytosol, improving the safety profile of nucleic acid, and enabling quicker immune response. Recently, a self-amplifying RNA-based immunogen containing the additional sequences of nsP1-4 proteins allowed their self-replication within the host cells. This helps in achieving a robust immune response with smaller doses compared to conventional RNA vaccines (<xref ref-type="bibr" rid="B121">121</xref>). Taken together, DNA and RNA-based immunization strategies, have demonstrated significant potential in inducing immune responses against MP.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Producing functional anti-MP antibodies requires the preparation and immunization of the protein of interest in its native form. In this review, we discussed various strategies for preparing and immunizing MP so that antibodies produced can recognize both linear as well as conformational epitopes of MPs, for therapeutic purposes (<xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>). The choice of antigen format for antibody discovery is dependent on compatible solubilization and purification methods for the target of choice. Selecting an appropriate method for immunogen production is challenging, as each approach comes with distinct advantages and limitations and the downstream antibody discovery platform used. The formats used range from simple soluble regions of the protein, such as soluble ECDs or peptides, to full-length MPs purified in detergent or lipidic environments, to complex membranous environments, such as VLPs, exosomes, and whole cells. Although generating specific antibodies from peptide-based immunizations eliminates the need to produce full-length transmembrane protein, the linear structure of peptides restricts the establishment of conformational epitopes and makes it more difficult to find effective antibodies. These problems can be partially tackled by complementing peptide-based immunogen design with computational modeling and prediction tools. A more recent advancement in AI-based structure prediction tools, such as AlphaFold2, RoseTTAFold2, and ESMFold, has great potential to predict the 3D structure of proteins directly from the amino acid sequence for more precise identification of immunogenic areas that can be used as antigens. Further advancements in AI-based tools make <italic>de novo</italic> protein design, epitope, and paratope identification, soluble analogous of MP, and native conformation analysis a realistic vision.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Comparison for different approaches for MP immunogen.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Method</th>
<th valign="top" align="center">Mechanism</th>
<th valign="top" align="center">Advantages</th>
<th valign="top" align="center">Limitations</th>
<th valign="top" align="center">Antibodies against <break/>targeted antigen</th>
<th valign="top" align="center">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Detergent Micelles</td>
<td valign="top" align="left">Solubilization of hydrophobic MPs through amphiphilic molecules</td>
<td valign="top" align="left">Most widely used and easy to apply technique to solubilize MP</td>
<td valign="top" align="left">Masking of extracellular loops disrupts the binding of antibodies.</td>
<td valign="top" align="left">Nb80 antibody (Beta 2 adrenergic receptor)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B122">122</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Proteoliposome</td>
<td valign="top" align="left">Purified MP encapsulated in the liposome</td>
<td valign="top" align="left">Liposomes mimic natural cell membrane-associated molecules</td>
<td valign="top" align="left">Reconstituting detergent-solubilized MPs or cells produced into liposomes.</td>
<td valign="top" align="left">1D4 monoclonal antibody (CCR5 protein), Recombinant antibody (Human M2 muscarinic acetylcholine receptor)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Nanodiscs</td>
<td valign="top" align="left">Assembly of MP with Scaffold proteins and phospholipids resembling bilayer</td>
<td valign="top" align="left">Increases specificity and affinity of the generated antibody</td>
<td valign="top" align="left">Unable to mimic membrane curvature and lipid symmetry in the cellular membrane.</td>
<td valign="top" align="left">Single-domain antibody (Human apelin receptor)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B123">123</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">SapNPs</td>
<td valign="top" align="left">Saposin A(SapA) forms a nanodisc-like structure along with MPs.</td>
<td valign="top" align="left">Preserve weakly associated MPs</td>
<td valign="top" align="left">Difficult to obtain in biologically active format for antibody discovery experiments.</td>
<td valign="top" align="left">Antibodies against malaria antigen, antibodies against HIV-1 spike protein</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B124">124</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">SMALPs</td>
<td valign="top" align="left">Styrene-maleic acid (SMA) copolymer stabilized with MPs.</td>
<td valign="top" align="left">Only detergent-free approach to solubilizing MPs.</td>
<td valign="top" align="left">Solubilization efficiency is lower than commonly used detergents.</td>
<td valign="top" align="left">Anti-CLEC-2 AYP2(C-type lectin-like receptor 2)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B50">50</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Computer-aided peptide-based immunization</td>
<td valign="top" align="left">Computational tools and algorithms are used to design the peptide-based immunogen.</td>
<td valign="top" align="left">Cost-effective and less time-consuming than other methods.</td>
<td valign="top" align="left">Incomplete database in these tools may lead to selection of non-immunogenic or non-functional epitopes</td>
<td valign="top" align="left">CR3022 monoclonal antibody (Spike protein SARS CoV-2short-chain amino acid residues YLQPRTFLL of RBD region)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B125">125</xref>&#x2013;<xref ref-type="bibr" rid="B127">127</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Whole-cell <break/>immunization</td>
<td valign="top" align="left">Overexpress the target MP antigen in whole-cells using expression plasmid.</td>
<td valign="top" align="left">Target antigen presentation in its native form.</td>
<td valign="top" align="left">Developing stable cell lines, Cell proteins will compete with overexpressed target antigens for antibody binding.</td>
<td valign="top" align="left">Monoclonal antibody 4D5 (HER 2 protein), Orai-1 antibodies, Anti-ETBR antibodies (Endothelin A receptor)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B81">81</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">VLP</td>
<td valign="top" align="left">Overexpress the target MP antigen in a hollow structure consisting of a viral core protein to mimic lipid bilayer.</td>
<td valign="top" align="left">Offer a higher density of foreign proteins per particle and maintain a unique 3D structure. More stable and viable than micelles and liposomes.</td>
<td valign="top" align="left">Cost inefficient, optimizing each receptor target for high expression can be a labor-intensive process.</td>
<td valign="top" align="left">Monoclonal antibodies (Glucose transporter, E protein of the Zika virus, E2 protein of the chikungunya virus. L1 or L2 proteins of the human papilloma virus)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B95">95</xref>, <xref ref-type="bibr" rid="B96">96</xref>, <xref ref-type="bibr" rid="B128">128</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Exosomes</td>
<td valign="top" align="left">Exosomes have a membrane orientation similar to the native plasma membrane.</td>
<td valign="top" align="left">Preservation of the native membrane environment, high intrinsic immunogenicity that elicits potent immune responses.</td>
<td valign="top" align="left">Limited yield, purity issues, heterogeneity, and complex production processes.</td>
<td valign="top" align="left">Monoclonal antibodies (Prostaglandin F2 Receptor Negative Regulator, brain abundant membrane attached signal protein-1Lysosome-associated membrane protein-2b)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B129">129</xref>, <xref ref-type="bibr" rid="B130">130</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Genetic immunization</td>
<td valign="top" align="left">Utilizes synthetic DNA or mRNA sequences to produce target immunogen peptides or proteins directly within the host.</td>
<td valign="top" align="left">
<italic>In vivo</italic> expression of full-length proteins. Targeted immune response by directly delivering DNA to cells.</td>
<td valign="top" align="left">Require a large dose to be effective.</td>
<td valign="top" align="left">DNA vaccines (rAHA_2144, rpilQ),13E11 monoclonal antibody (CCX-CKR), Monoclonal anti-claudin 1(protein claudin-1)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B132">132</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Biophysical techniques like X-ray crystallography, single-particle cryo-electron microscopy, and receptor-ligand binding assays are used to determine 3D structures. However, these techniques do not work in the native environment; therefore, the protein must be separated from the membrane and examined <italic>in vitro</italic> in a lipid or detergent environment. MP extracted through traditional methods such as detergents may destabilize MP as well as mask key extracellular loops of MPs and their dissociation from the membrane. Novel technologies like amphiols, nanodiscs, and SMALPS help overcome these limitations by replicating the composition of plasma membranes. While nanoparticle-based technologies have been widely used in MP structure elucidation (<xref ref-type="bibr" rid="B133">133</xref>), their role in the immunization of MPs remains limited. Despite their success in structural studies, the limited use of nanoparticle-based technologies for immunization is largely due to stability issues post-immunization. Nanoparticle-based formulations may also sometimes induce aggregation or alter the native conformation of MPs, affecting both immunogenicity and specificity. Additionally, maintaining the structural and functional characteristics of MPs throughout the MP reconstitution process is still very challenging. The variability incorporated during immunogen preparation can affect reproducibility in immunogen design. In order to minimize conformational changes, aggregation, and unpredictability, it is imperative to develop better membrane-mimetic systems that more precisely mimic the native lipid environment of MPs. Cryo-electron microscopy and other advanced characterization techniques are crucial for evaluating the structural consistency and integrity of MPs in different formulations. The development of innovative adjuvants tailored for MP immunization, as well as scalable and reproducible production techniques, will help ensure reliable antibody production against MPs.</p>
<p>Overexpressed MPs can be utilized for immunization either as whole cells expressing MPs or as MP-containing VLPs and exosomes produced by cells. Although VLPs evoke powerful immune responses and are more robust than whole-cell immunization, allowing fewer non-relevant targets on the surface, they can be expensive and time-consuming to produce. While exosomes can deliver MP in native form with a topology similar to the native plasma membrane, they face challenges such as heterogeneity, complex isolation processes, and limited scalability. Cell-free expression systems has emerged as powerful techniques for the expression of MP. Recent developments in detergent-free modified cellular lysates enable cell-free expression of target proteins, which can be coupled with direct reconstitution of newly synthesized proteins into membrane vesicles such as liposomes. This approach avoids common challenges such as poor membrane insertion, precipitation of newly synthesized proteins, or cytotoxic effects caused by excessive strain on the host cell&#x2019;s metabolism. The chosen, optimized antigen formats can then be employed to drive antibody discovery through the appropriate use of strategies that leverage display technologies, B cell platforms, hybridoma, or a combination of these approaches to guarantee the isolation of a diverse panel of antibodies.</p>
<p>The effort required to create purified proteins or native membrane structures to generate antibodies can be bypassed by genetically immunizing the host organism. The SARS-CoV-2 pandemic demonstrated the effectiveness of RNA-based vaccines developed in a significantly shorter timeframe. However, challenges remain in ensuring that the expressed protein is properly processed, presented, and elicits a strong immune response. Future improvements in RNA delivery systems, such as more efficient lipid nanoparticles, and improvements in RNA synthesis and delivery technologies, are needed to make this approach for broader implementation. Further, the development of a well-optimized standard protocol to select the optimal antigen format and antibody generation platform for specific targets is also necessary. In addition, developing better strategies for screening membrane antibodies is another critical area in enhancing the production of specific antibodies. These advancements will pave the way for more efficient, accurate, and scalable antibody-generation processes, particularly for challenging targets like MPs.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>AM: Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. NF: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AF: Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MP: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MK: Writing &#x2013; review &amp; editing. AH: Conceptualization, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We sincerely apologize to the numerous authors whose valuable studies we could not discuss due to space limitations. We would like to acknowledge the support and facilities provided by the Department of Biochemistry, Faculty of Life Sciences, AMU, Aligarh.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Marshall</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Warrington</surname> <given-names>R</given-names>
</name>
<name>
<surname>Watson</surname> <given-names>W</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>An introduction to immunology and immunopathology</article-title>. <source>Allergy Asthma Clin Immunol</source>. (<year>2018</year>) <volume>14</volume>:<fpage>49</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13223-018-0278-1</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Honjo</surname> <given-names>T</given-names>
</name>
<name>
<surname>Reth</surname> <given-names>M</given-names>
</name>
<name>
<surname>Radbruch</surname> <given-names>A</given-names>
</name>
<name>
<surname>Alt</surname> <given-names>F</given-names>
</name>
<name>
<surname>Neuberger</surname> <given-names>M</given-names>
</name>
</person-group>. <source>Molecular biology of B cells</source>. <publisher-name>ScienceDirect</publisher-name> (<year>2004</year>). Available online at: <uri xlink:href="https://www.sciencedirect.com/book/9780323958950/molecular-biology-of-b-cells">https://www.sciencedirect.com/book/9780323958950/molecular-biology-of-b-cells</uri>.</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Ahmad</surname> <given-names>TA</given-names>
</name>
<name>
<surname>Eweida</surname> <given-names>AE</given-names>
</name>
<name>
<surname>Sheweita</surname> <given-names>SAJT</given-names>
</name>
</person-group>. <article-title>B-cell epitope mapping for the design of vaccines and effective diagnostics</article-title>. <source>Trials in Vaccinology</source> (<year>2016</year>) <volume>5</volume>:<fpage>71</fpage>&#x2013;<lpage>83</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.trivac.2016.04.003</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Biavasco</surname> <given-names>R</given-names>
</name>
<name>
<surname>De Giovanni</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>The relative positioning of B and T cell epitopes drives immunodominance</article-title>. <source>Vaccines (Basel)</source>. (<year>2022</year>) <volume>10</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/vaccines10081227</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sanchez-Trincado</surname> <given-names>JL</given-names>
</name>
<name>
<surname>Gomez-Perosanz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Reche</surname> <given-names>PA</given-names>
</name>
</person-group>. <article-title>Fundamentals and methods for T- and B-cell epitope prediction</article-title>. <source>J Immunol Res</source>. (<year>2017</year>) <volume>2017</volume>:<fpage>2680160</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2017/2680160</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Van Regenmortel</surname> <given-names>MH</given-names>
</name>
</person-group>. <article-title>What is a B-cell epitope</article-title>? <source>Methods Mol Biol</source>. (<year>2009</year>) <volume>524</volume>:<fpage>3</fpage>&#x2013;<lpage>20</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/978-1-59745-450-6_1</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Salk</surname> <given-names>JE</given-names>
</name>
</person-group>. <article-title>Studies in human subjects on active immunization against poliomyelitis. I. A preliminary report of experiments in progress</article-title>. <source>J Am Med Assoc</source>. (<year>1953</year>) <volume>151</volume>:<page-range>1081&#x2013;98</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jama.1953.13.1081</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Burnett</surname> <given-names>DL</given-names>
</name>
<name>
<surname>Schofield</surname> <given-names>P</given-names>
</name>
<name>
<surname>Langley</surname> <given-names>DB</given-names>
</name>
<name>
<surname>Jackson</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bourne</surname> <given-names>K</given-names>
</name>
<name>
<surname>Wilson</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Conformational diversity facilitates antibody mutation trajectories and discrimination between foreign and self-antigens</article-title>. <source>Proc Natl Acad Sci U.S.A</source>. (<year>2020</year>) <volume>117</volume>:<page-range>22341&#x2013;50</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.2005102117</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Douthwaite</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Finch</surname> <given-names>DK</given-names>
</name>
<name>
<surname>Mustelin</surname> <given-names>T</given-names>
</name>
<name>
<surname>Wilkinson</surname> <given-names>TC</given-names>
</name>
</person-group>. <article-title>Development of therapeutic antibodies to G protein-coupled receptors and ion channels: Opportunities, challenges and their therapeutic potential in respiratory diseases</article-title>. <source>Pharmacol Ther</source>. (<year>2017</year>) <volume>169</volume>:<page-range>113&#x2013;23</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.pharmthera.2016.04.013</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yin</surname> <given-names>H</given-names>
</name>
<name>
<surname>Flynn</surname> <given-names>AD</given-names>
</name>
</person-group>. <article-title>Drugging membrane protein interactions</article-title>. <source>Annu Rev BioMed Eng</source>. (<year>2016</year>) <volume>18</volume>:<fpage>51</fpage>&#x2013;<lpage>76</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1146/annurev-bioeng-092115-025322</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>ZL</given-names>
</name>
<name>
<surname>Buck</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Beyond history and on a roll: The list of the most well-studied human protein structures and overall trends in the protein data bank</article-title>. <source>Protein Sci</source>. (<year>2021</year>) <volume>30</volume>:<page-range>745&#x2013;60</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/pro.v30.4</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jelokhani-Niaraki</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Membrane proteins: structure, function and motion</article-title>. <source>Int J Mol Sci</source>. (<year>2022</year>) <volume>24</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms24010468</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kubota</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Shitara</surname> <given-names>K</given-names>
</name>
</person-group>. <article-title>Zolbetuximab for Claudin18.2-positive gastric or gastroesophageal junction cancer</article-title>. <source>Ther Adv Med Oncol</source>. (<year>2024</year>) <volume>16</volume>:<fpage>17588359231217967</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/17588359231217967</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Errey</surname> <given-names>JC</given-names>
</name>
<name>
<surname>Fiez-Vandal</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Production of membrane proteins in industry: The example of GPCRs</article-title>. <source>Protein Expr Purif</source>. (<year>2020</year>) <volume>169</volume>:<fpage>105569</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.pep.2020.105569</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stephens</surname> <given-names>AD</given-names>
</name>
<name>
<surname>Wilkinson</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Discovery of therapeutic antibodies targeting complex multi-spanning membrane proteins</article-title>. <source>BioDrugs</source>. (<year>2024</year>) <volume>38</volume>:<page-range>769&#x2013;94</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s40259-024-00682-1</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pandey</surname> <given-names>A</given-names>
</name>
<name>
<surname>Shin</surname> <given-names>K</given-names>
</name>
<name>
<surname>Patterson</surname> <given-names>RE</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>XQ</given-names>
</name>
<name>
<surname>Rainey</surname> <given-names>JK</given-names>
</name>
</person-group>. <article-title>Current strategies for protein production and purification enabling membrane protein structural biology</article-title>. <source>Biochem Cell Biol</source>. (<year>2016</year>) <volume>94</volume>:<page-range>507&#x2013;27</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1139/bcb-2015-0143</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>McCusker</surname> <given-names>EC</given-names>
</name>
<name>
<surname>Bane</surname> <given-names>SE</given-names>
</name>
<name>
<surname>O'Malley</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Robinson</surname> <given-names>AS</given-names>
</name>
</person-group>. <article-title>Heterologous GPCR expression: a bottleneck to obtaining crystal structures</article-title>. <source>Biotechnol Prog</source>. (<year>2007</year>) <volume>23</volume>:<page-range>540&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/(ISSN)1520-6033</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hudziak</surname> <given-names>RM</given-names>
</name>
<name>
<surname>Lewis</surname> <given-names>GD</given-names>
</name>
<name>
<surname>Winget</surname> <given-names>M</given-names>
</name>
<name>
<surname>Fendly</surname> <given-names>BM</given-names>
</name>
<name>
<surname>Shepard</surname> <given-names>HM</given-names>
</name>
<name>
<surname>Ullrich</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>p185HER2 monoclonal antibody has antiproliferative effects <italic>in vitro</italic> and sensitizes human breast tumor cells to tumor necrosis factor</article-title>. <source>Mol Cell Biol</source>. (<year>1989</year>) <volume>9</volume>:<page-range>1165&#x2013;72</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1128/mcb.9.3.1165-1172.1989</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hansen</surname> <given-names>KB</given-names>
</name>
<name>
<surname>Wollmuth</surname> <given-names>LP</given-names>
</name>
<name>
<surname>Bowie</surname> <given-names>D</given-names>
</name>
<name>
<surname>Furukawa</surname> <given-names>H</given-names>
</name>
<name>
<surname>Menniti</surname> <given-names>FS</given-names>
</name>
<name>
<surname>Sobolevsky</surname> <given-names>AI</given-names>
</name>
<etal/>
</person-group>. <article-title>Structure, function, and pharmacology of glutamate receptor ion channels</article-title>. <source>Pharmacol Rev</source>. (<year>2021</year>) <volume>73</volume>:<fpage>298</fpage>&#x2013;<lpage>487</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1124/pharmrev.120.000131</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wagner</surname> <given-names>A</given-names>
</name>
<name>
<surname>Galicia-Andr&#xe9;s</surname> <given-names>E</given-names>
</name>
<name>
<surname>Teufl</surname> <given-names>M</given-names>
</name>
<name>
<surname>Gold</surname> <given-names>L</given-names>
</name>
<name>
<surname>Obinger</surname> <given-names>C</given-names>
</name>
<name>
<surname>Sykacek</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Identification of activating mutations in the transmembrane and extracellular domains of EGFR</article-title>. <source>Biochemistry</source>. (<year>2022</year>) <volume>61</volume>:<page-range>2049&#x2013;62</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/acs.biochem.2c00384</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Feng</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>N</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Jeffrey</surname> <given-names>PD</given-names>
</name>
<etal/>
</person-group>. <article-title>Structure of a site-2 protease family intramembrane metalloprotease</article-title>. <source>Science</source>. (<year>2007</year>) <volume>318</volume>:<page-range>1608&#x2013;12</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.1150755</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lu</surname> <given-names>P</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>XC</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>D</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>T</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>C</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Three-dimensional structure of human &#x3b3;-secretase</article-title>. <source>Nature</source>. (<year>2014</year>) <volume>512</volume>:<page-range>166&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature13567</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jumper</surname> <given-names>J</given-names>
</name>
<name>
<surname>Evans</surname> <given-names>R</given-names>
</name>
<name>
<surname>Pritzel</surname> <given-names>A</given-names>
</name>
<name>
<surname>Green</surname> <given-names>T</given-names>
</name>
<name>
<surname>Figurnov</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ronneberger</surname> <given-names>O</given-names>
</name>
<etal/>
</person-group>. <article-title>Highly accurate protein structure prediction with AlphaFold</article-title>. <source>Nature</source>. (<year>2021</year>
<elocation-id>7873</elocation-id>) <volume>596</volume>:<page-range>583&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-021-03819-2</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Errasti-Murugarren</surname> <given-names>E</given-names>
</name>
<name>
<surname>Bartoccioni</surname> <given-names>P</given-names>
</name>
<name>
<surname>Palac&#xed;n</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Membrane protein stabilization strategies for structural and functional studies</article-title>. <source>Membranes (Basel)</source>. (<year>2021</year>) <volume>11</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/membranes11020155</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gurdap</surname> <given-names>CO</given-names>
</name>
<name>
<surname>Wedemann</surname> <given-names>L</given-names>
</name>
<name>
<surname>Sych</surname> <given-names>T</given-names>
</name>
<name>
<surname>Sezgin</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Influence of the extracellular domain size on the dynamic behavior of membrane proteins</article-title>. <source>Biophys J</source>. (<year>2022</year>) <volume>121</volume>:<page-range>3826&#x2013;36</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bpj.2022.09.010</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Krishnarjuna</surname> <given-names>B</given-names>
</name>
<name>
<surname>Ramamoorthy</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Detergent-free isolation of membrane proteins and strategies to study them in a near-native membrane environment</article-title>. <source>Biomolecules</source>. (<year>2022</year>) <volume>12</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/biom12081076</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vitrac</surname> <given-names>H</given-names>
</name>
<name>
<surname>Mallampalli</surname> <given-names>V</given-names>
</name>
<name>
<surname>Bogdanov</surname> <given-names>M</given-names>
</name>
<name>
<surname>Dowhan</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>The lipid-dependent structure and function of LacY can be recapitulated and analyzed in phospholipid-containing detergent micelles</article-title>. <source>Sci Rep</source>. (<year>2019</year>) <volume>9</volume>:<fpage>11338</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-019-47824-y</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Henrich</surname> <given-names>E</given-names>
</name>
<name>
<surname>Peetz</surname> <given-names>O</given-names>
</name>
<name>
<surname>Hein</surname> <given-names>C</given-names>
</name>
<name>
<surname>Laguerre</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hoffmann</surname> <given-names>B</given-names>
</name>
<name>
<surname>Hoffmann</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Analyzing native membrane protein assembly in nanodiscs by combined non-covalent mass spectrometry and synthetic biology</article-title>. <source>Elife</source>. (<year>2017</year>) <volume>6</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.7554/eLife.20954</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Anandan</surname> <given-names>A</given-names>
</name>
<name>
<surname>Vrielink</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Detergents in membrane protein purification and crystallisation</article-title>. <source>Adv Exp Med Biol</source>. (<year>2016</year>) <volume>922</volume>:<fpage>13</fpage>&#x2013;<lpage>28</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/978-3-319-35072-1_2</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chae</surname> <given-names>PS</given-names>
</name>
<name>
<surname>Rasmussen</surname> <given-names>SG</given-names>
</name>
<name>
<surname>Rana</surname> <given-names>RR</given-names>
</name>
<name>
<surname>Gotfryd</surname> <given-names>K</given-names>
</name>
<name>
<surname>Chandra</surname> <given-names>R</given-names>
</name>
<name>
<surname>Goren</surname> <given-names>MA</given-names>
</name>
<etal/>
</person-group>. <article-title>Maltose-neopentyl glycol (MNG) amphiphiles for solubilization, stabilization and crystallization of membrane proteins</article-title>. <source>Nat Methods</source>. (<year>2010</year>) <volume>7</volume>:<page-range>1003&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nmeth.1526</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Robertson</surname> <given-names>N</given-names>
</name>
<name>
<surname>Jazayeri</surname> <given-names>A</given-names>
</name>
<name>
<surname>Errey</surname> <given-names>J</given-names>
</name>
<name>
<surname>Baig</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hurrell</surname> <given-names>E</given-names>
</name>
<name>
<surname>Zhukov</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>The properties of thermostabilised G protein-coupled receptors (StaRs) and their use in drug discovery</article-title>. <source>Neuropharmacology</source>. (<year>2011</year>) <volume>60</volume>:<fpage>36</fpage>&#x2013;<lpage>44</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.neuropharm.2010.07.001</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hutchings</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Cseke</surname> <given-names>G</given-names>
</name>
<name>
<surname>Osborne</surname> <given-names>G</given-names>
</name>
<name>
<surname>Woolard</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhukov</surname> <given-names>A</given-names>
</name>
<name>
<surname>Koglin</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Monoclonal anti-&#x3b2;1-adrenergic receptor antibodies activate G protein signaling in the absence of &#x3b2;-arrestin recruitment</article-title>. <source>MAbs</source>. (<year>2014</year>) <volume>6</volume>:<page-range>246&#x2013;61</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4161/mabs.27226</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mirzabekov</surname> <given-names>T</given-names>
</name>
<name>
<surname>Kontos</surname> <given-names>H</given-names>
</name>
<name>
<surname>Farzan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Marasco</surname> <given-names>W</given-names>
</name>
<name>
<surname>Sodroski</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Paramagnetic proteoliposomes containing a pure, native, and oriented seven-transmembrane segment protein, CCR5</article-title>. <source>Nat Biotechnol</source>. (<year>2000</year>) <volume>18</volume>:<page-range>649&#x2013;54</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/76501</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jesorka</surname> <given-names>A</given-names>
</name>
<name>
<surname>Orwar</surname> <given-names>O</given-names>
</name>
</person-group>. <article-title>Liposomes: technologies and analytical applications</article-title>. <source>Annu Rev Anal Chem (Palo Alto Calif)</source>. (<year>2008</year>) <volume>1</volume>:<page-range>801&#x2013;32</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1146/annurev.anchem.1.031207.112747</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Suharni</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Arakawa</surname> <given-names>T</given-names>
</name>
<name>
<surname>Hino</surname> <given-names>T</given-names>
</name>
<name>
<surname>Abe</surname> <given-names>H</given-names>
</name>
<name>
<surname>Nakada-Nakura</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sato</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Proteoliposome-based selection of a recombinant antibody fragment against the human M2 muscarinic acetylcholine receptor</article-title>. <source>Monoclon Antib Immunodiagn Immunother</source>. (<year>2014</year>) <volume>33</volume>:<page-range>378&#x2013;85</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/mab.2014.0041</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname> <given-names>W</given-names>
</name>
<name>
<surname>Takeda</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Production of immunizing antigen proteoliposome using cell-free protein synthesis system</article-title>. <source>Methods Mol Biol</source>. (<year>2018</year>) <volume>1868</volume>:<fpage>49</fpage>&#x2013;<lpage>67</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/978-1-0716-3682-4_9</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hashimoto</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>W</given-names>
</name>
<name>
<surname>Hamauchi</surname> <given-names>K</given-names>
</name>
<name>
<surname>Shirakura</surname> <given-names>K</given-names>
</name>
<name>
<surname>Doi</surname> <given-names>T</given-names>
</name>
<name>
<surname>Yagi</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Engineered membrane protein antigens successfully induce antibodies against extracellular regions of claudin-5</article-title>. <source>Sci Rep</source>. (<year>2018</year>) <volume>8</volume>:<fpage>8383</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-018-26560-9</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dominik</surname> <given-names>PK</given-names>
</name>
<name>
<surname>Borowska</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Dalmas</surname> <given-names>O</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>SS</given-names>
</name>
<name>
<surname>Perozo</surname> <given-names>E</given-names>
</name>
<name>
<surname>Keenan</surname> <given-names>RJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Conformational chaperones for structural studies of membrane proteins using antibody phage display with nanodiscs</article-title>. <source>Structure</source>. (<year>2016</year>) <volume>24</volume>:<page-range>300&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.str.2015.11.014</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ren</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Novick</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Strutzenberg</surname> <given-names>TS</given-names>
</name>
<name>
<surname>Griffin</surname> <given-names>PR</given-names>
</name>
<name>
<surname>Bao</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>One-step construction of circularized nanodiscs using SpyCatcher-SpyTag</article-title>. <source>Nat Commun</source>. (<year>2021</year>) <volume>12</volume>:<fpage>5451</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-021-25737-7</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ju</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Ahn</surname> <given-names>HM</given-names>
</name>
<name>
<surname>Han</surname> <given-names>SG</given-names>
</name>
<name>
<surname>Ko</surname> <given-names>S</given-names>
</name>
<name>
<surname>Na</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Jo</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>A human antibody against human endothelin receptor type A that exhibits antitumor potency</article-title>. <source>Exp Mol Med</source>. (<year>2021</year>) <volume>53</volume>:<page-range>1437&#x2013;48</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s12276-021-00678-9</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Carlson</surname> <given-names>ML</given-names>
</name>
<name>
<surname>Young</surname> <given-names>JW</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Fabre</surname> <given-names>L</given-names>
</name>
<name>
<surname>Jun</surname> <given-names>D</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>The Peptidisc, a simple method for stabilizing membrane proteins in detergent-free solution</article-title>. <source>Elife</source>. (<year>2018</year>) <volume>7</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.7554/eLife.34085</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kariyazono</surname> <given-names>H</given-names>
</name>
<name>
<surname>Nadai</surname> <given-names>R</given-names>
</name>
<name>
<surname>Miyajima</surname> <given-names>R</given-names>
</name>
<name>
<surname>Takechi-Haraya</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Baba</surname> <given-names>T</given-names>
</name>
<name>
<surname>Shigenaga</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Formation of stable nanodiscs by bihelical apolipoprotein A-I mimetic peptide</article-title>. <source>J Pept Sci</source>. (<year>2016</year>) <volume>22</volume>:<page-range>116&#x2013;22</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/psc.v22.2</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lyons</surname> <given-names>JA</given-names>
</name>
<name>
<surname>B&#xf8;ggild</surname> <given-names>A</given-names>
</name>
<name>
<surname>Nissen</surname> <given-names>P</given-names>
</name>
<name>
<surname>Frauenfeld</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Saposin-lipoprotein scaffolds for structure determination of membrane transporters</article-title>. <source>Methods Enzymol</source>. (<year>2017</year>) <volume>594</volume>:<fpage>85</fpage>&#x2013;<lpage>99</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/bs.mie.2017.06.035</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kanonenberg</surname> <given-names>K</given-names>
</name>
<name>
<surname>Smits</surname> <given-names>SHJ</given-names>
</name>
<name>
<surname>Schmitt</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Functional reconstitution of hlyB, a type I secretion ABC transporter, in saposin-A nanoparticles</article-title>. <source>Sci Rep</source>. (<year>2019</year>) <volume>9</volume>:<fpage>8436</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-019-44812-0</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reff</surname> <given-names>ME</given-names>
</name>
<name>
<surname>Carner</surname> <given-names>K</given-names>
</name>
<name>
<surname>Chambers</surname> <given-names>KS</given-names>
</name>
<name>
<surname>Chinn</surname> <given-names>PC</given-names>
</name>
<name>
<surname>Leonard</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Raab</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Depletion of B cells <italic>in vivo</italic> by a chimeric mouse human monoclonal antibody to CD20</article-title>. <source>Blood</source>. (<year>1994</year>) <volume>83</volume>:<page-range>435&#x2013;45</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood.V83.2.435.435</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Frauenfeld</surname> <given-names>J</given-names>
</name>
<name>
<surname>L&#xf6;ving</surname> <given-names>R</given-names>
</name>
<name>
<surname>Armache</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Sonnen</surname> <given-names>AF</given-names>
</name>
<name>
<surname>Guettou</surname> <given-names>F</given-names>
</name>
<name>
<surname>Moberg</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>A saposin-lipoprotein nanoparticle system for membrane proteins</article-title>. <source>Nat Methods</source>. (<year>2016</year>) <volume>13</volume>:<page-range>345&#x2013;51</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nmeth.3801</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sahu</surname> <given-names>ID</given-names>
</name>
<name>
<surname>Dixit</surname> <given-names>G</given-names>
</name>
<name>
<surname>Reynolds</surname> <given-names>WD</given-names>
</name>
<name>
<surname>Kaplevatsky</surname> <given-names>R</given-names>
</name>
<name>
<surname>Harding</surname> <given-names>BD</given-names>
</name>
<name>
<surname>Jaycox</surname> <given-names>CK</given-names>
</name>
<etal/>
</person-group>. <article-title>Characterization of the human KCNQ1 voltage sensing domain (VSD) in lipodisq nanoparticles for electron paramagnetic resonance (EPR) spectroscopic studies of membrane proteins</article-title>. <source>J Phys Chem B</source>. (<year>2020</year>) <volume>124</volume>:<page-range>2331&#x2013;42</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/acs.jpcb.9b11506</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>D&#xf6;rr</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Koorengevel</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Sch&#xe4;fer</surname> <given-names>M</given-names>
</name>
<name>
<surname>Prokofyev</surname> <given-names>AV</given-names>
</name>
<name>
<surname>Scheidelaar</surname> <given-names>S</given-names>
</name>
<name>
<surname>van der Cruijsen</surname> <given-names>EA</given-names>
</name>
<etal/>
</person-group>. <article-title>Detergent-free isolation, characterization, and functional reconstitution of a tetrameric K+ channel: the power of native nanodiscs</article-title>. <source>Proc Natl Acad Sci U.S.A</source>. (<year>2014</year>) <volume>111</volume>:<page-range>18607&#x2013;12</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.1416205112</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Velappan</surname> <given-names>N</given-names>
</name>
<name>
<surname>Micheva-Viteva</surname> <given-names>S</given-names>
</name>
<name>
<surname>Adikari</surname> <given-names>SH</given-names>
</name>
<name>
<surname>Waldo</surname> <given-names>GS</given-names>
</name>
<name>
<surname>Lillo</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Bradbury</surname> <given-names>ARM</given-names>
</name>
</person-group>. <article-title>Selection and verification of antibodies against the cytoplasmic domain of M2 of influenza, a transmembrane protein</article-title>. <source>MAbs</source>. (<year>2020</year>) <volume>12</volume>:<fpage>1843754</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/19420862.2020.1843754</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Clark</surname> <given-names>JC</given-names>
</name>
<name>
<surname>Martin</surname> <given-names>EM</given-names>
</name>
<name>
<surname>Mor&#xe1;n</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Di</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zuidscherwoude</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Divalent nanobodies to platelet CLEC-2 can serve as agonists or antagonists</article-title>. <source>Commun Biol</source>. (<year>2023</year>) <volume>6</volume>:<fpage>376</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s42003-023-04766-6</pub-id>
</citation>
</ref>
<ref id="B51">
<label>51</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sasaki</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Kosaka</surname> <given-names>H</given-names>
</name>
<name>
<surname>Usami</surname> <given-names>K</given-names>
</name>
<name>
<surname>Toki</surname> <given-names>H</given-names>
</name>
<name>
<surname>Kawai</surname> <given-names>H</given-names>
</name>
<name>
<surname>Shiraishi</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Establishment of a novel monoclonal antibody against LGR5</article-title>. <source>Biochem Biophys Res Commun</source>. (<year>2010</year>) <volume>394</volume>:<fpage>498</fpage>&#x2013;<lpage>502</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bbrc.2010.02.166</pub-id>
</citation>
</ref>
<ref id="B52">
<label>52</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cox</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Hussell</surname> <given-names>S</given-names>
</name>
<name>
<surname>S&#xf8;ndergaard</surname> <given-names>H</given-names>
</name>
<name>
<surname>Roepstorff</surname> <given-names>K</given-names>
</name>
<name>
<surname>Bui</surname> <given-names>JV</given-names>
</name>
<name>
<surname>Deer</surname> <given-names>JR</given-names>
</name>
<etal/>
</person-group>. <article-title>Antibody-mediated targeting of the Orai1 calcium channel inhibits T cell function</article-title>. <source>PloS One</source>. (<year>2013</year>) <volume>8</volume>:<fpage>e82944</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0082944</pub-id>
</citation>
</ref>
<ref id="B53">
<label>53</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dodd</surname> <given-names>RB</given-names>
</name>
<name>
<surname>Wilkinson</surname> <given-names>T</given-names>
</name>
<name>
<surname>Schofield</surname> <given-names>DJ</given-names>
</name>
</person-group>. <article-title>Therapeutic monoclonal antibodies to complex membrane protein targets: antigen generation and antibody discovery strategies</article-title>. <source>BioDrugs</source>. (<year>2018</year>) <volume>32</volume>:<page-range>339&#x2013;55</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s40259-018-0289-y</pub-id>
</citation>
</ref>
<ref id="B54">
<label>54</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Pool</surname> <given-names>C</given-names>
</name>
<name>
<surname>Sadler</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>HP</given-names>
</name>
<name>
<surname>Edl</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Selection of active ScFv to G-protein-coupled receptor CCR5 using surface antigen-mimicking peptides</article-title>. <source>Biochemistry</source>. (<year>2004</year>) <volume>43</volume>:<page-range>12575&#x2013;84</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/bi0492152</pub-id>
</citation>
</ref>
<ref id="B55">
<label>55</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Richelle</surname> <given-names>GJJ</given-names>
</name>
<name>
<surname>Ori</surname> <given-names>S</given-names>
</name>
<name>
<surname>Hiemstra</surname> <given-names>H</given-names>
</name>
<name>
<surname>van Maarseveen</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Timmerman</surname> <given-names>P</given-names>
</name>
</person-group>. <article-title>General and facile route to isomerically pure tricyclic peptides based on templated tandem CLIPS/cuAAC cyclizations</article-title>. <source>Angew Chem Int Ed Engl</source>. (<year>2018</year>) <volume>57</volume>:<page-range>501&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/anie.201709127</pub-id>
</citation>
</ref>
<ref id="B56">
<label>56</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>van Els</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Corbi&#xe8;re</surname> <given-names>V</given-names>
</name>
<name>
<surname>Smits</surname> <given-names>K</given-names>
</name>
<name>
<surname>van-Gaans-van-den-Brink</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Poelen</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Mascart</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Toward understanding the essence of post-translational modifications for the mycobacterium tuberculosis immunoproteome</article-title>. <source>Front Immunol</source>. (<year>2014</year>) <volume>5</volume>:<elocation-id>361</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2014.00361</pub-id>
</citation>
</ref>
<ref id="B57">
<label>57</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kar</surname> <given-names>T</given-names>
</name>
<name>
<surname>Narsaria</surname> <given-names>U</given-names>
</name>
<name>
<surname>Basak</surname> <given-names>S</given-names>
</name>
<name>
<surname>Deb</surname> <given-names>D</given-names>
</name>
<name>
<surname>Castiglione</surname> <given-names>F</given-names>
</name>
<name>
<surname>Mueller</surname> <given-names>DM</given-names>
</name>
<etal/>
</person-group>. <article-title>A candidate multi-epitope vaccine against SARS-CoV-2</article-title>. <source>Sci Rep</source>. (<year>2020</year>) <volume>10</volume>:<fpage>10895</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-020-67749-1</pub-id>
</citation>
</ref>
<ref id="B58">
<label>58</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>G&#xf3;mara</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Riedemann</surname> <given-names>S</given-names>
</name>
<name>
<surname>Vega</surname> <given-names>I</given-names>
</name>
<name>
<surname>Ibarra</surname> <given-names>H</given-names>
</name>
<name>
<surname>Ercilla</surname> <given-names>G</given-names>
</name>
<name>
<surname>Haro</surname> <given-names>I</given-names>
</name>
</person-group>. <article-title>Use of linear and multiple antigenic peptides in the immunodiagnosis of acute hepatitis A virus infection</article-title>. <source>J Immunol Methods</source>. (<year>2000</year>) <volume>234</volume>:<fpage>23</fpage>&#x2013;<lpage>34</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0022-1759(99)00196-9</pub-id>
</citation>
</ref>
<ref id="B59">
<label>59</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wilkins</surname> <given-names>MR</given-names>
</name>
<name>
<surname>Gasteiger</surname> <given-names>E</given-names>
</name>
<name>
<surname>Bairoch</surname> <given-names>A</given-names>
</name>
<name>
<surname>Sanchez</surname> <given-names>JC</given-names>
</name>
<name>
<surname>Williams</surname> <given-names>KL</given-names>
</name>
<name>
<surname>Appel</surname> <given-names>RD</given-names>
</name>
<etal/>
</person-group>. <article-title>Protein identification and analysis tools in the ExPASy server</article-title>. <source>Methods Mol Biol</source>. (<year>1999</year>) <volume>112</volume>:<page-range>531&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1385/1-59259-584-7:531</pub-id>
</citation>
</ref>
<ref id="B60">
<label>60</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rahman</surname> <given-names>N</given-names>
</name>
<name>
<surname>Ali</surname> <given-names>F</given-names>
</name>
<name>
<surname>Basharat</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Shehroz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Khan</surname> <given-names>MK</given-names>
</name>
<name>
<surname>Jeandet</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Vaccine design from the ensemble of surface glycoprotein epitopes of SARS-coV-2: an immunoinformatics approach</article-title>. <source>Vaccines (Basel)</source>. (<year>2020</year>) <volume>8</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/vaccines8030423</pub-id>
</citation>
</ref>
<ref id="B61">
<label>61</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rapoport</surname> <given-names>TA</given-names>
</name>
</person-group>. <article-title>Protein translocation across the eukaryotic endoplasmic reticulum and bacterial plasma membranes</article-title>. <source>Nature</source>. (<year>2007</year>) <volume>450</volume>:<page-range>663&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature06384</pub-id>
</citation>
</ref>
<ref id="B62">
<label>62</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guarra</surname> <given-names>F</given-names>
</name>
<name>
<surname>Colombo</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Computational methods in immunology and vaccinology: design and development of antibodies and immunogens</article-title>. <source>J Chem Theory Comput</source>. (<year>2023</year>) <volume>19</volume>:<page-range>5315&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/acs.jctc.3c00513</pub-id>
</citation>
</ref>
<ref id="B63">
<label>63</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Doytchinova</surname> <given-names>IA</given-names>
</name>
<name>
<surname>Flower</surname> <given-names>DR</given-names>
</name>
</person-group>. <article-title>VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines</article-title>. <source>BMC Bioinf</source>. (<year>2007</year>) <volume>8</volume>:<fpage>4</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1471-2105-8-4</pub-id>
</citation>
</ref>
<ref id="B64">
<label>64</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dimitrov</surname> <given-names>I</given-names>
</name>
<name>
<surname>Bangov</surname> <given-names>I</given-names>
</name>
<name>
<surname>Flower</surname> <given-names>DR</given-names>
</name>
<name>
<surname>Doytchinova</surname> <given-names>I</given-names>
</name>
</person-group>. <article-title>AllerTOP v.2&#x2013;a server for in silico prediction of allergens</article-title>. <source>J Mol Model</source>. (<year>2014</year>) <volume>20</volume>:<fpage>2278</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00894-014-2278-5</pub-id>
</citation>
</ref>
<ref id="B65">
<label>65</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gupta</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kapoor</surname> <given-names>P</given-names>
</name>
<name>
<surname>Chaudhary</surname> <given-names>K</given-names>
</name>
<name>
<surname>Gautam</surname> <given-names>A</given-names>
</name>
<name>
<surname>Kumar</surname> <given-names>R</given-names>
</name>
<name>
<surname>Raghava</surname> <given-names>GP</given-names>
</name>
</person-group>. <article-title>Peptide toxicity prediction</article-title>. <source>Methods Mol Biol</source>. (<year>2015</year>) <volume>1268</volume>:<page-range>143&#x2013;57</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/978-1-4939-2285-7_7</pub-id>
</citation>
</ref>
<ref id="B66">
<label>66</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Omidi</surname> <given-names>A</given-names>
</name>
<name>
<surname>M&#xf8;ller</surname> <given-names>MH</given-names>
</name>
<name>
<surname>Malhis</surname> <given-names>N</given-names>
</name>
<name>
<surname>Bui</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Gsponer</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>AlphaFold-Multimer accurately captures interactions and dynamics of intrinsically disordered protein regions</article-title>. <source>Proc Natl Acad Sci U.S.A</source>. (<year>2024</year>) <volume>121</volume>:<fpage>e2406407121</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.2406407121</pub-id>
</citation>
</ref>
<ref id="B67">
<label>67</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Varadi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Anyango</surname> <given-names>S</given-names>
</name>
<name>
<surname>Deshpande</surname> <given-names>M</given-names>
</name>
<name>
<surname>Nair</surname> <given-names>S</given-names>
</name>
<name>
<surname>Natassia</surname> <given-names>C</given-names>
</name>
<name>
<surname>Yordanova</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models</article-title>. <source>Nucleic Acids Res</source>. (<year>2022</year>) <volume>50</volume>:<fpage>D439</fpage>&#x2013;<lpage>d444</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/nar/gkab1061</pub-id>
</citation>
</ref>
<ref id="B68">
<label>68</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Varadi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bertoni</surname> <given-names>D</given-names>
</name>
<name>
<surname>Magana</surname> <given-names>P</given-names>
</name>
<name>
<surname>Paramval</surname> <given-names>U</given-names>
</name>
<name>
<surname>Pidruchna</surname> <given-names>I</given-names>
</name>
<name>
<surname>Radhakrishnan</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences</article-title>. <source>Nucleic Acids Res</source>. (<year>2024</year>) <volume>52</volume>:<fpage>D368</fpage>&#x2013;<lpage>d375</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/nar/gkad1011</pub-id>
</citation>
</ref>
<ref id="B69">
<label>69</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zeng</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>W</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model</article-title>. <source>Bioinformatics</source>. (<year>2023</year>) <volume>39</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/bioinformatics/btad187</pub-id>
</citation>
</ref>
<ref id="B70">
<label>70</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nguyen</surname> <given-names>PT</given-names>
</name>
<name>
<surname>Harris</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Mateos</surname> <given-names>DL</given-names>
</name>
<name>
<surname>Gonz&#xe1;lez</surname> <given-names>AH</given-names>
</name>
<name>
<surname>Murray</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Yarov-Yarovoy</surname> <given-names>V</given-names>
</name>
</person-group>. <article-title>Structural modeling of ion channels using AlphaFold2, RoseTTAFold2, and ESMFold</article-title>. <source>Channels (Austin)</source>. (<year>2024</year>) <volume>18</volume>:<fpage>2325032</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/19336950.2024.2325032</pub-id>
</citation>
</ref>
<ref id="B71">
<label>71</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Singh</surname> <given-names>A</given-names>
</name>
<name>
<surname>Thakur</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sharma</surname> <given-names>LK</given-names>
</name>
<name>
<surname>Chandra</surname> <given-names>K</given-names>
</name>
</person-group>. <article-title>Designing a multi-epitope peptide based vaccine against SARS-CoV-2</article-title>. <source>Sci Rep</source>. (<year>2020</year>) <volume>10</volume>:<fpage>16219</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-020-73371-y</pub-id>
</citation>
</ref>
<ref id="B72">
<label>72</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bibi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ullah</surname> <given-names>I</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Adnan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Liaqat</surname> <given-names>R</given-names>
</name>
<name>
<surname>Kong</surname> <given-names>WB</given-names>
</name>
<etal/>
</person-group>. <article-title>In silico analysis of epitope-based vaccine candidate against tuberculosis using reverse vaccinology</article-title>. <source>Sci Rep</source>. (<year>2021</year>) <volume>11</volume>:<fpage>1249</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-020-80899-6</pub-id>
</citation>
</ref>
<ref id="B73">
<label>73</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sharma</surname> <given-names>R</given-names>
</name>
<name>
<surname>Rajput</surname> <given-names>VS</given-names>
</name>
<name>
<surname>Jamal</surname> <given-names>S</given-names>
</name>
<name>
<surname>Grover</surname> <given-names>A</given-names>
</name>
<name>
<surname>Grover</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Author Correction: An immunoinformatics approach to design a multi-epitope vaccine against Mycobacterium tuberculosis exploiting secreted exosome proteins</article-title>. <source>Sci Rep</source>. (<year>2021</year>) <volume>11</volume>:<fpage>16844</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-021-96314-7</pub-id>
</citation>
</ref>
<ref id="B74">
<label>74</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tian</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>A</given-names>
</name>
<name>
<surname>Xia</surname> <given-names>S</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>Z</given-names>
</name>
<etal/>
</person-group>. <article-title>Potent binding of 2019 novel coronavirus spike protein by a SARS coronavirus-specific human monoclonal antibody</article-title>. <source>Emerg Microbes Infect</source>. (<year>2020</year>) <volume>9</volume>:<page-range>382&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/22221751.2020.1729069</pub-id>
</citation>
</ref>
<ref id="B75">
<label>75</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mitra</surname> <given-names>D</given-names>
</name>
<name>
<surname>Pandey</surname> <given-names>J</given-names>
</name>
<name>
<surname>Jain</surname> <given-names>A</given-names>
</name>
<name>
<surname>Swaroop</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>In silico design of multi-epitope-based peptide vaccine against SARS-CoV-2 using its spike protein</article-title>. <source>J Biomol Struct Dyn</source>. (<year>2022</year>) <volume>40</volume>:<page-range>5189&#x2013;202</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/07391102.2020.1869092</pub-id>
</citation>
</ref>
<ref id="B76">
<label>76</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bryant</surname> <given-names>P</given-names>
</name>
<name>
<surname>Pozzati</surname> <given-names>G</given-names>
</name>
<name>
<surname>Elofsson</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Improved prediction of protein-protein interactions using AlphaFold2</article-title>. <source>Nat Commun</source>. (<year>2022</year>) <volume>13</volume>:<fpage>1265</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-022-28865-w</pub-id>
</citation>
</ref>
<ref id="B77">
<label>77</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Roy</surname> <given-names>RS</given-names>
</name>
<name>
<surname>Quadir</surname> <given-names>F</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Enhancing alphafold-multimer-based protein complex structure prediction with MULTICOM in CASP15</article-title>. <source>Commun Biol</source>. (<year>2023</year>) <volume>6</volume>:<fpage>1140</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s42003-023-05525-3</pub-id>
</citation>
</ref>
<ref id="B78">
<label>78</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gonzalez-Garcia</surname> <given-names>M</given-names>
</name>
<name>
<surname>Fusco</surname> <given-names>G</given-names>
</name>
<name>
<surname>De Simone</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Membrane interactions and toxicity by misfolded protein oligomers</article-title>. <source>Front Cell Dev Biol</source>. (<year>2021</year>) <volume>9</volume>:<elocation-id>642623</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcell.2021.642623</pub-id>
</citation>
</ref>
<ref id="B79">
<label>79</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>LH</given-names>
</name>
<name>
<surname>Shivakumar</surname> <given-names>R</given-names>
</name>
<name>
<surname>Feller</surname> <given-names>S</given-names>
</name>
<name>
<surname>Allen</surname> <given-names>C</given-names>
</name>
<name>
<surname>Weiss</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Dzekunov</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Highly efficient, large volume flow electroporation</article-title>. <source>Technol Cancer Res Treat</source>. (<year>2002</year>) <volume>1</volume>:<page-range>341&#x2013;50</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/153303460200100504</pub-id>
</citation>
</ref>
<ref id="B80">
<label>80</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>TK</given-names>
</name>
<name>
<surname>Eberwine</surname> <given-names>JH</given-names>
</name>
</person-group>. <article-title>Mammalian cell transfection: the present and the future</article-title>. <source>Anal Bioanal Chem</source>. (<year>2010</year>) <volume>397</volume>:<page-range>3173&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00216-010-3821-6</pub-id>
</citation>
</ref>
<ref id="B81">
<label>81</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname> <given-names>FF</given-names>
</name>
<name>
<surname>Elliott</surname> <given-names>R</given-names>
</name>
<name>
<surname>Colombero</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gaida</surname> <given-names>K</given-names>
</name>
<name>
<surname>Kelley</surname> <given-names>L</given-names>
</name>
<name>
<surname>Moksa</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Generation and characterization of fully human monoclonal antibodies against human Orai1 for autoimmune disease</article-title>. <source>J Pharmacol Exp Ther</source>. (<year>2013</year>) <volume>345</volume>:<page-range>225&#x2013;38</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1124/jpet.112.202788</pub-id>
</citation>
</ref>
<ref id="B82">
<label>82</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Buell</surname> <given-names>G</given-names>
</name>
<name>
<surname>Chessell</surname> <given-names>IP</given-names>
</name>
<name>
<surname>Michel</surname> <given-names>AD</given-names>
</name>
<name>
<surname>Collo</surname> <given-names>G</given-names>
</name>
<name>
<surname>Salazzo</surname> <given-names>M</given-names>
</name>
<name>
<surname>Herren</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Blockade of human P2X7 receptor function with a monoclonal antibody</article-title>. <source>Blood</source>. (<year>1998</year>) <volume>92</volume>:<page-range>3521&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood.V92.10.3521</pub-id>
</citation>
</ref>
<ref id="B83">
<label>83</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Batah</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Ahmad</surname> <given-names>TA</given-names>
</name>
</person-group>. <article-title>The development of ghost vaccines trials</article-title>. <source>Expert Rev Vaccines</source>. (<year>2020</year>) <volume>19</volume>:<page-range>549&#x2013;62</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/14760584.2020.1777862</pub-id>
</citation>
</ref>
<ref id="B84">
<label>84</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ahmad</surname> <given-names>TA</given-names>
</name>
<name>
<surname>Haroun</surname> <given-names>M</given-names>
</name>
<name>
<surname>Hussein</surname> <given-names>AA</given-names>
</name>
<name>
<surname>El Ashry el</surname> <given-names>SH</given-names>
</name>
<name>
<surname>El-Sayed</surname> <given-names>LH</given-names>
</name>
</person-group>. <article-title>Development of a new trend conjugate vaccine for the prevention of Klebsiella pneumoniae</article-title>. <source>Infect Dis Rep</source>. (<year>2012</year>) <volume>4</volume>:<fpage>e33</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.4081/idr.2012.e33</pub-id>
</citation>
</ref>
<ref id="B85">
<label>85</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schiedner</surname> <given-names>G</given-names>
</name>
<name>
<surname>Hertel</surname> <given-names>S</given-names>
</name>
<name>
<surname>Bialek</surname> <given-names>C</given-names>
</name>
<name>
<surname>Kewes</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wasch&#xfc;tza</surname> <given-names>G</given-names>
</name>
<name>
<surname>Volpers</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Efficient and reproducible generation of high-expressing, stable human cell lines without need for antibiotic selection</article-title>. <source>BMC Biotechnol</source>. (<year>2008</year>) <volume>8</volume>:<fpage>13</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1472-6750-8-13</pub-id>
</citation>
</ref>
<ref id="B86">
<label>86</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chaudhary</surname> <given-names>S</given-names>
</name>
<name>
<surname>Pak</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Pedersen</surname> <given-names>BP</given-names>
</name>
<name>
<surname>Bang</surname> <given-names>LJ</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>LB</given-names>
</name>
<name>
<surname>Ngaw</surname> <given-names>SM</given-names>
</name>
<etal/>
</person-group>. <article-title>Efficient expression screening of human membrane proteins in transiently transfected Human Embryonic Kidney 293S cells</article-title>. <source>Methods</source>. (<year>2011</year>) <volume>55</volume>:<page-range>273&#x2013;80</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ymeth.2011.08.018</pub-id>
</citation>
</ref>
<ref id="B87">
<label>87</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Willis</surname> <given-names>S</given-names>
</name>
<name>
<surname>Davidoff</surname> <given-names>C</given-names>
</name>
<name>
<surname>Schilling</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wanless</surname> <given-names>A</given-names>
</name>
<name>
<surname>Doranz</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Rucker</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Virus-like particles as quantitative probes of membrane protein interactions</article-title>. <source>Biochemistry</source>. (<year>2008</year>) <volume>47</volume>:<page-range>6988&#x2013;90</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/bi800540b</pub-id>
</citation>
</ref>
<ref id="B88">
<label>88</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jones</surname> <given-names>JW</given-names>
</name>
<name>
<surname>Greene</surname> <given-names>TA</given-names>
</name>
<name>
<surname>Grygon</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Doranz</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>MP</given-names>
</name>
</person-group>. <article-title>Cell-free assay of G-protein-coupled receptors using fluorescence polarization</article-title>. <source>J Biomol Screen</source>. (<year>2008</year>) <volume>13</volume>:<page-range>424&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/1087057108318332</pub-id>
</citation>
</ref>
<ref id="B89">
<label>89</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mohsen</surname> <given-names>MO</given-names>
</name>
<name>
<surname>Gomes</surname> <given-names>AC</given-names>
</name>
<name>
<surname>Vogel</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bachmann</surname> <given-names>MF</given-names>
</name>
</person-group>. <article-title>Interaction of viral capsid-derived virus-like particles (VLPs) with the innate immune system</article-title>. <source>Vaccines (Basel)</source>. (<year>2018</year>) <volume>6</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/vaccines6030037</pub-id>
</citation>
</ref>
<ref id="B90">
<label>90</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Endres</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Jaffer</surname> <given-names>S</given-names>
</name>
<name>
<surname>Haggarty</surname> <given-names>B</given-names>
</name>
<name>
<surname>Turner</surname> <given-names>JD</given-names>
</name>
<name>
<surname>Doranz</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>O'Brien</surname> <given-names>PJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Targeting of HIV- and SIV-infected cells by CD4-chemokine receptor pseudotypes</article-title>. <source>Science</source>. (<year>1997</year>) <volume>278</volume>:<page-range>1462&#x2013;4</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.278.5342.1462</pub-id>
</citation>
</ref>
<ref id="B91">
<label>91</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>R</given-names>
</name>
<name>
<surname>Kiss</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Batonick</surname> <given-names>M</given-names>
</name>
<name>
<surname>Weiner</surname> <given-names>MP</given-names>
</name>
<name>
<surname>Kay</surname> <given-names>BK</given-names>
</name>
</person-group>. <article-title>Generating recombinant antibodies to membrane proteins through phage display</article-title>. <source>Antibodies (Basel)</source>. (<year>2016</year>) <volume>5</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/antib5020011</pub-id>
</citation>
</ref>
<ref id="B92">
<label>92</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Caldeira</surname> <given-names>JC</given-names>
</name>
<name>
<surname>Peabody</surname> <given-names>DS</given-names>
</name>
</person-group>. <article-title>Stability and assembly <italic>in vitro</italic> of bacteriophage PP7 virus-like particles</article-title>. <source>J Nanobiotechnology</source>. (<year>2007</year>) <volume>5</volume>:<fpage>10</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1477-3155-5-10</pub-id>
</citation>
</ref>
<ref id="B93">
<label>93</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lynch</surname> <given-names>A</given-names>
</name>
<name>
<surname>Meyers</surname> <given-names>AE</given-names>
</name>
<name>
<surname>Williamson</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Rybicki</surname> <given-names>EP</given-names>
</name>
</person-group>. <article-title>Stability studies of HIV-1 Pr55gag virus-like particles made in insect cells after storage in various formulation media</article-title>. <source>Virol J</source>. (<year>2012</year>) <volume>9</volume>:<fpage>210</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1743-422X-9-210</pub-id>
</citation>
</ref>
<ref id="B94">
<label>94</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>KH</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>YT</given-names>
</name>
<name>
<surname>Park</surname> <given-names>S</given-names>
</name>
<name>
<surname>Jung</surname> <given-names>YJ</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ko</surname> <given-names>EJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Neuraminidase expressing virus-like particle vaccine provides effective cross protection against influenza virus</article-title>. <source>Virology</source>. (<year>2019</year>) <volume>535</volume>:<page-range>179&#x2013;88</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.virol.2019.07.008</pub-id>
</citation>
</ref>
<ref id="B95">
<label>95</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Boigard</surname> <given-names>H</given-names>
</name>
<name>
<surname>Alimova</surname> <given-names>A</given-names>
</name>
<name>
<surname>Martin</surname> <given-names>GR</given-names>
</name>
<name>
<surname>Katz</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gottlieb</surname> <given-names>P</given-names>
</name>
<name>
<surname>Galarza</surname> <given-names>JM</given-names>
</name>
</person-group>. <article-title>Zika virus-like particle (VLP) based vaccine</article-title>. <source>PloS Negl Trop Dis</source>. (<year>2017</year>) <volume>11</volume>:<fpage>e0005608</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pntd.0005608</pub-id>
</citation>
</ref>
<ref id="B96">
<label>96</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yadav</surname> <given-names>R</given-names>
</name>
<name>
<surname>Zhai</surname> <given-names>L</given-names>
</name>
<name>
<surname>Tumban</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Virus-like particle-based L2 vaccines against HPVs: where are we today</article-title>? <source>Viruses</source>. (<year>2019</year>) <volume>12</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/v12010018</pub-id>
</citation>
</ref>
<ref id="B97">
<label>97</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sioud</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Phage display libraries: from binders to targeted drug delivery and human therapeutics</article-title>. <source>Mol Biotechnol</source>. (<year>2019</year>) <volume>61</volume>:<fpage>286</fpage>&#x2013;<lpage>303</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12033-019-00156-8</pub-id>
</citation>
</ref>
<ref id="B98">
<label>98</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Aghebati-Maleki</surname> <given-names>L</given-names>
</name>
<name>
<surname>Bakhshinejad</surname> <given-names>B</given-names>
</name>
<name>
<surname>Baradaran</surname> <given-names>B</given-names>
</name>
<name>
<surname>Motallebnezhad</surname> <given-names>M</given-names>
</name>
<name>
<surname>Aghebati-Maleki</surname> <given-names>A</given-names>
</name>
<name>
<surname>Nickho</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Phage display as a promising approach for vaccine development</article-title>. <source>J BioMed Sci</source>. (<year>2016</year>) <volume>23</volume>:<fpage>66</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12929-016-0285-9</pub-id>
</citation>
</ref>
<ref id="B99">
<label>99</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Prisco</surname> <given-names>A</given-names>
</name>
<name>
<surname>De Berardinis</surname> <given-names>P</given-names>
</name>
</person-group>. <article-title>Filamentous bacteriophage fd as an antigen delivery system in vaccination</article-title>. <source>Int J Mol Sci</source>. (<year>2012</year>) <volume>13</volume>:<page-range>5179&#x2013;94</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms13045179</pub-id>
</citation>
</ref>
<ref id="B100">
<label>100</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Puapermpoonsiri</surname> <given-names>U</given-names>
</name>
<name>
<surname>Spencer</surname> <given-names>J</given-names>
</name>
<name>
<surname>van der Walle</surname> <given-names>CF</given-names>
</name>
</person-group>. <article-title>A freeze-dried formulation of bacteriophage encapsulated in biodegradable microspheres</article-title>. <source>Eur J Pharm Biopharm</source>. (<year>2009</year>) <volume>72</volume>:<fpage>26</fpage>&#x2013;<lpage>33</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ejpb.2008.12.001</pub-id>
</citation>
</ref>
<ref id="B101">
<label>101</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kiss</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Babineau</surname> <given-names>EG</given-names>
</name>
<name>
<surname>Bonatsakis</surname> <given-names>M</given-names>
</name>
<name>
<surname>Buhr</surname> <given-names>DL</given-names>
</name>
<name>
<surname>Maksymiuk</surname> <given-names>GM</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Phage ESCape: an emulsion-based approach for the selection of recombinant phage display antibodies</article-title>. <source>J Immunol Methods</source>. (<year>2011</year>) <volume>367</volume>:<fpage>17</fpage>&#x2013;<lpage>26</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jim.2010.09.034</pub-id>
</citation>
</ref>
<ref id="B102">
<label>102</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ling</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Li</surname> <given-names>L</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Highly paralleled emulsion droplets for efficient isolation, amplification, and screening of cancer biomarker binding phages</article-title>. <source>Lab Chip</source>. (<year>2021</year>) <volume>21</volume>:<page-range>1175&#x2013;84</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1039/D0LC01146K</pub-id>
</citation>
</ref>
<ref id="B103">
<label>103</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Malik</surname> <given-names>DJ</given-names>
</name>
<name>
<surname>Sokolov</surname> <given-names>IJ</given-names>
</name>
<name>
<surname>Vinner</surname> <given-names>GK</given-names>
</name>
<name>
<surname>Mancuso</surname> <given-names>F</given-names>
</name>
<name>
<surname>Cinquerrui</surname> <given-names>S</given-names>
</name>
<name>
<surname>Vladisavljevic</surname> <given-names>GT</given-names>
</name>
<etal/>
</person-group>. <article-title>Formulation, stabilisation and encapsulation of bacteriophage for phage therapy</article-title>. <source>Adv Colloid Interface Sci</source>. (<year>2017</year>) <volume>249</volume>:<page-range>100&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cis.2017.05.014</pub-id>
</citation>
</ref>
<ref id="B104">
<label>104</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jaroszewicz</surname> <given-names>W</given-names>
</name>
<name>
<surname>Morcinek-Or&#x142;owska</surname> <given-names>J</given-names>
</name>
<name>
<surname>Pierzynowska</surname> <given-names>K</given-names>
</name>
<name>
<surname>Gaffke</surname> <given-names>L</given-names>
</name>
<name>
<surname>W&#x119;grzyn</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Phage display and other peptide display technologies</article-title>. <source>FEMS Microbiol Rev</source>. (<year>2022</year>) <volume>46</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/femsre/fuab052</pub-id>
</citation>
</ref>
<ref id="B105">
<label>105</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kalluri</surname> <given-names>R</given-names>
</name>
<name>
<surname>LeBleu</surname> <given-names>VS</given-names>
</name>
</person-group>. <article-title>The biology, function, and biomedical applications of exosomes</article-title>. <source>Science</source>. (<year>2020</year>) <volume>367</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.aau6977</pub-id>
</citation>
</ref>
<ref id="B106">
<label>106</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tenchov</surname> <given-names>R</given-names>
</name>
<name>
<surname>Sasso</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liaw</surname> <given-names>WS</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>QA</given-names>
</name>
</person-group>. <article-title>Exosomes&#x2500;Nature's lipid nanoparticles, a rising star in drug delivery and diagnostics</article-title>. <source>ACS Nano</source>. (<year>2022</year>) <volume>16</volume>:<page-range>17802&#x2013;46</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/acsnano.2c08774</pub-id>
</citation>
</ref>
<ref id="B107">
<label>107</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mulcahy</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Pink</surname> <given-names>RC</given-names>
</name>
<name>
<surname>Carter</surname> <given-names>DR</given-names>
</name>
</person-group>. <article-title>Routes and mechanisms of extracellular vesicle uptake</article-title>. <source>J Extracell Vesicles</source>. (<year>2014</year>) <volume>3</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3402/jev.v3.24641</pub-id>
</citation>
</ref>
<ref id="B108">
<label>108</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Salunkhe</surname> <given-names>S</given-names>
</name>
<name>
<surname>Dheeraj</surname> <given-names>M</given-names>
</name>
<name>
<surname>Chitkara</surname> <given-names>BD</given-names>
</name>
<name>
<surname>Mittal</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Surface functionalization of exosomes for target-specific delivery and <italic>in vivo</italic> imaging &amp; tracking: Strategies and significance</article-title>. <source>J Control Release</source>. (<year>2020</year>) <volume>326</volume>:<fpage>599</fpage>&#x2013;<lpage>614</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jconrel.2020.07.042</pub-id>
</citation>
</ref>
<ref id="B109">
<label>109</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>F</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>S</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>P</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>C</given-names>
</name>
<name>
<surname>Li</surname> <given-names>W</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Composition, functions, and applications of exosomal membrane proteins</article-title>. <source>Front Immunol</source>. (<year>2024</year>) <volume>15</volume>:<elocation-id>1408415</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2024.1408415</pub-id>
</citation>
</ref>
<ref id="B110">
<label>110</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>El Safadi</surname> <given-names>D</given-names>
</name>
<name>
<surname>Mokhtari</surname> <given-names>A</given-names>
</name>
<name>
<surname>Krejbich</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lagrave</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hirigoyen</surname> <given-names>U</given-names>
</name>
<name>
<surname>Lebeau</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Exosome-mediated antigen delivery: unveiling novel strategies in viral infection control and vaccine design</article-title>. <source>Vaccines (Basel)</source>. (<year>2024</year>) <volume>12</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/vaccines12030280</pub-id>
</citation>
</ref>
<ref id="B111">
<label>111</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chaput</surname> <given-names>N</given-names>
</name>
<name>
<surname>Th&#xe9;ry</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Exosomes: immune properties and potential clinical implementations</article-title>. <source>Semin Immunopathol</source>. (<year>2011</year>) <volume>33</volume>:<page-range>419&#x2013;40</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00281-010-0233-9</pub-id>
</citation>
</ref>
<ref id="B112">
<label>112</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mashouri</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yousefi</surname> <given-names>H</given-names>
</name>
<name>
<surname>Aref</surname> <given-names>AR</given-names>
</name>
<name>
<surname>Ahadi</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Molaei</surname> <given-names>F</given-names>
</name>
<name>
<surname>Alahari</surname> <given-names>SK</given-names>
</name>
</person-group>. <article-title>Exosomes: composition, biogenesis, and mechanisms in cancer metastasis and drug resistance</article-title>. <source>Mol Cancer</source>. (<year>2019</year>) <volume>18</volume>:<fpage>75</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12943-019-0991-5</pub-id>
</citation>
</ref>
<ref id="B113">
<label>113</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pitt</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Andr&#xe9;</surname> <given-names>F</given-names>
</name>
<name>
<surname>Amigorena</surname> <given-names>S</given-names>
</name>
<name>
<surname>Soria</surname> <given-names>JC</given-names>
</name>
<name>
<surname>Eggermont</surname> <given-names>A</given-names>
</name>
<name>
<surname>Kroemer</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Dendritic cell-derived exosomes for cancer therapy</article-title>. <source>J Clin Invest</source>. (<year>2016</year>) <volume>126</volume>:<page-range>1224&#x2013;32</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/JCI81137</pub-id>
</citation>
</ref>
<ref id="B114">
<label>114</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Choi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Qiao</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wiggins</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Displaying and delivering viral membrane antigens via WW domain-activated extracellular vesicles</article-title>. <source>Sci Adv</source>. (<year>2023</year>) <volume>9</volume>:<elocation-id>eade2708</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/sciadv.ade2708</pub-id>
</citation>
</ref>
<ref id="B115">
<label>115</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sato</surname> <given-names>YT</given-names>
</name>
<name>
<surname>Umezaki</surname> <given-names>K</given-names>
</name>
<name>
<surname>Sawada</surname> <given-names>S</given-names>
</name>
<name>
<surname>Mukai</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Sasaki</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Harada</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Engineering hybrid exosomes by membrane fusion with liposomes</article-title>. <source>Sci Rep</source>. (<year>2016</year>) <volume>6</volume>:<fpage>21933</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/srep21933</pub-id>
</citation>
</ref>
<ref id="B116">
<label>116</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bergmann-Leitner</surname> <given-names>ES</given-names>
</name>
<name>
<surname>Leitner</surname> <given-names>WW</given-names>
</name>
</person-group>. <article-title>Vaccination Using Gene-Gun Technology</article-title>. <source>Methods Mol Biol</source>. (<year>2015</year>) <volume>1325</volume>:<page-range>289&#x2013;302</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/978-1-4939-2815-6_22</pub-id>
</citation>
</ref>
<ref id="B117">
<label>117</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Peyrassol</surname> <given-names>X</given-names>
</name>
<name>
<surname>Laeremans</surname> <given-names>T</given-names>
</name>
<name>
<surname>Gouwy</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lahura</surname> <given-names>V</given-names>
</name>
<name>
<surname>Debulpaep</surname> <given-names>M</given-names>
</name>
<name>
<surname>Van Damme</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Development by Genetic Immunization of Monovalent Antibodies (Nanobodies) Behaving as Antagonists of the Human ChemR23 Receptor</article-title>. <source>J Immunol</source>. (<year>2016</year>) <volume>196</volume>(<issue>6</issue>):<page-range>2893&#x2013;901</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4049/jimmunol.1500888</pub-id>
</citation>
</ref>
<ref id="B118">
<label>118</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hansen</surname> <given-names>DT</given-names>
</name>
<name>
<surname>Craciunescu</surname> <given-names>FM</given-names>
</name>
<name>
<surname>Fromme</surname> <given-names>P</given-names>
</name>
<name>
<surname>Johnston</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Sykes</surname> <given-names>KF</given-names>
</name>
</person-group>. <article-title>Generation of high-specificity antibodies against membrane proteins using DNA-gold micronanoplexes for gene gun immunization</article-title>. <source>Curr Protoc Protein Sci</source>. (<year>2018</year>) <volume>91</volume>:<fpage>29.20.21</fpage>&#x2013;<lpage>29.20.22</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/0471140864.2018.91.issue-1</pub-id>
</citation>
</ref>
<ref id="B119">
<label>119</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Deng</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>B</given-names>
</name>
<name>
<surname>Han</surname> <given-names>D</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>DNA vaccines expressing the envelope and membrane proteins provide partial protection against SARS-coV-2 in mice</article-title>. <source>Front Immunol</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>827605</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.827605</pub-id>
</citation>
</ref>
<ref id="B120">
<label>120</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eden</surname> <given-names>T</given-names>
</name>
<name>
<surname>Menzel</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wesolowski</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bergmann</surname> <given-names>P</given-names>
</name>
<name>
<surname>Nissen</surname> <given-names>M</given-names>
</name>
<name>
<surname>Dubberke</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>A cDNA Immunization Strategy to Generate Nanobodies against Membrane Proteins in Native Conformation</article-title>. <source>Front Immunol</source>. (<year>2017</year>) <volume>8</volume>:<elocation-id>1989</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2017.01989</pub-id>
</citation>
</ref>
<ref id="B121">
<label>121</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bloom</surname> <given-names>K</given-names>
</name>
<name>
<surname>van den Berg</surname> <given-names>F</given-names>
</name>
<name>
<surname>Arbuthnot</surname> <given-names>P</given-names>
</name>
</person-group>. <article-title>Self-amplifying RNA vaccines for infectious diseases</article-title>. <source>Gene Ther</source>. (<year>2021</year>) <volume>28</volume>:<page-range>117&#x2013;29</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41434-020-00204-y</pub-id>
</citation>
</ref>
<ref id="B122">
<label>122</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rasmussen</surname> <given-names>SG</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>HJ</given-names>
</name>
<name>
<surname>Fung</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Pardon</surname> <given-names>E</given-names>
</name>
<name>
<surname>Casarosa</surname> <given-names>P</given-names>
</name>
<name>
<surname>Chae</surname> <given-names>PS</given-names>
</name>
<etal/>
</person-group>. <article-title>Structure of a nanobody-stabilized active state of the &#x3b2;(2) adrenoceptor</article-title>. <source>Nature</source>. (<year>2011</year>) <volume>469</volume>:<page-range>175&#x2013;80</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature09648</pub-id>
</citation>
</ref>
<ref id="B123">
<label>123</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ding</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Song</surname> <given-names>X</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Structure-guided discovery of a single-domain antibody agonist against human apelin receptor</article-title>. <source>Sci Adv</source>. (<year>2020</year>) <volume>6</volume>:<elocation-id>eaax7379</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/sciadv.aax7379</pub-id>
</citation>
</ref>
<ref id="B124">
<label>124</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Drulyte</surname> <given-names>I</given-names>
</name>
<name>
<surname>Gutgsell</surname> <given-names>AR</given-names>
</name>
<name>
<surname>Lloris-Garcer&#xe1;</surname> <given-names>P</given-names>
</name>
<name>
<surname>Liss</surname> <given-names>M</given-names>
</name>
<name>
<surname>Geschwindner</surname> <given-names>S</given-names>
</name>
<name>
<surname>Radjainia</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Direct cell extraction of membrane proteins for structure-function analysis</article-title>. <source>Sci Rep</source>. (<year>2023</year>) <volume>13</volume>:<fpage>1420</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-023-28455-w</pub-id>
</citation>
</ref>
<ref id="B125">
<label>125</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Nussinov</surname> <given-names>R</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>WJ</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>In silico methods in antibody design</article-title>. <source>Antibodies (Basel)</source>. (<year>2018</year>) <volume>7</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/antib7030022</pub-id>
</citation>
</ref>
<ref id="B126">
<label>126</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Grifoni</surname> <given-names>A</given-names>
</name>
<name>
<surname>Sidney</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Scheuermann</surname> <given-names>RH</given-names>
</name>
<name>
<surname>Peters</surname> <given-names>B</given-names>
</name>
<name>
<surname>Sette</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>A sequence homology and bioinformatic approach can predict candidate targets for immune responses to SARS-coV-2</article-title>. <source>Cell Host Microbe</source>. (<year>2020</year>) <volume>27</volume>:<fpage>671</fpage>&#x2013;<lpage>680.e672</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.chom.2020.03.002</pub-id>
</citation>
</ref>
<ref id="B127">
<label>127</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rijal</surname> <given-names>P</given-names>
</name>
<name>
<surname>Donnellan</surname> <given-names>FR</given-names>
</name>
</person-group>. <article-title>A review of broadly protective monoclonal antibodies to treat Ebola virus disease</article-title>. <source>Curr Opin Virol</source>. (<year>2023</year>) <volume>61</volume>:<fpage>101339</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.coviro.2023.101339</pub-id>
</citation>
</ref>
<ref id="B128">
<label>128</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tucker</surname> <given-names>DF</given-names>
</name>
<name>
<surname>Sullivan</surname> <given-names>JT</given-names>
</name>
<name>
<surname>Mattia</surname> <given-names>KA</given-names>
</name>
<name>
<surname>Fisher</surname> <given-names>CR</given-names>
</name>
<name>
<surname>Barnes</surname> <given-names>T</given-names>
</name>
<name>
<surname>Mabila</surname> <given-names>MN</given-names>
</name>
<etal/>
</person-group>. <article-title>Isolation of state-dependent monoclonal antibodies against the 12-transmembrane domain glucose transporter 4 using virus-like particles</article-title>. <source>Proc Natl Acad Sci U.S.A</source>. (<year>2018</year>) <volume>115</volume>:<fpage>E4990</fpage>&#x2013;<lpage>e4999</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.1716788115</pub-id>
</citation>
</ref>
<ref id="B129">
<label>129</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dooley</surname> <given-names>K</given-names>
</name>
<name>
<surname>McConnell</surname> <given-names>RE</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Lewis</surname> <given-names>ND</given-names>
</name>
<name>
<surname>Haupt</surname> <given-names>S</given-names>
</name>
<name>
<surname>Youniss</surname> <given-names>MR</given-names>
</name>
<etal/>
</person-group>. <article-title>A versatile platform for generating engineered extracellular vesicles with defined therapeutic properties</article-title>. <source>Mol Ther</source>. (<year>2021</year>) <volume>29</volume>:<page-range>1729&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ymthe.2021.01.020</pub-id>
</citation>
</ref>
<ref id="B130">
<label>130</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
<name>
<surname>Ouyang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Exosome-mediated delivery of kartogenin for chondrogenesis of synovial fluid-derived mesenchymal stem cells and cartilage regeneration</article-title>. <source>Biomaterials</source>. (<year>2021</year>) <volume>269</volume>:<fpage>120539</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.biomaterials.2020.120539</pub-id>
</citation>
</ref>
<ref id="B131">
<label>131</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fofana</surname> <given-names>I</given-names>
</name>
<name>
<surname>Krieger</surname> <given-names>SE</given-names>
</name>
<name>
<surname>Grunert</surname> <given-names>F</given-names>
</name>
<name>
<surname>Glauben</surname> <given-names>S</given-names>
</name>
<name>
<surname>Xiao</surname> <given-names>F</given-names>
</name>
<name>
<surname>Fafi-Kremer</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Monoclonal anti-claudin 1 antibodies prevent hepatitis C virus infection of primary human hepatocytes</article-title>. <source>Gastroenterol 139(3)</source>. (<year>2010</year>) <volume>953-964</volume>:<page-range>964.e951&#x2013;954</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.gastro.2010.05.073</pub-id>
</citation>
</ref>
<ref id="B132">
<label>132</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Takatsuka</surname> <given-names>S</given-names>
</name>
<name>
<surname>Sekiguchi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Tokunaga</surname> <given-names>M</given-names>
</name>
<name>
<surname>Fujimoto</surname> <given-names>A</given-names>
</name>
<name>
<surname>Chiba</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Generation of a panel of monoclonal antibodies against atypical chemokine receptor CCX-CKR by DNA immunization</article-title>. <source>J Pharmacol Toxicol Methods</source>. (<year>2011</year>) <volume>63</volume>:<page-range>250&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.vascn.2010.12.003</pub-id>
</citation>
</ref>
<ref id="B133">
<label>133</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pettersen</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Robinson</surname> <given-names>AS</given-names>
</name>
</person-group>. <article-title>Advances in nanodisc platforms for membrane protein purification</article-title>. <source>Trends Biotechnol</source>. (<year>2023</year>) <volume>41</volume>:<page-range>1041&#x2013;54</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.tibtech.2023.02.006</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>