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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2021.653562</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Metabolite Profiling of Malaysian <italic>Gracilaria edulis</italic> Reveals Eplerenone as Novel Antibacterial Compound for Drug Repurposing Against MDR Bacteria</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Asghar</surname> <given-names>Ali</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1343544/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tan</surname> <given-names>Yong-Chiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1344595/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Shahid</surname> <given-names>Muhammad</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1121603/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yow</surname> <given-names>Yoon-Yen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1344967/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lahiri</surname> <given-names>Chandrajit</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/534029/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Biological Sciences, Sunway University</institution>, <addr-line>Petaling Jaya</addr-line>, <country>Malaysia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Food Sciences, Universiti Kebangsaan</institution>, <addr-line>Bangi</addr-line>, <country>Malaysia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Tingting Huang, Shanghai Jiao Tong University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Marc Maresca, Aix-Marseille Universit&#x00E9;, France; Anima Nanda, Sathyabama Institute of Science and Technology, India</p></fn>
<corresp id="c001">&#x002A;Correspondence: Chandrajit Lahiri, <email>chandrajitl@sunway.edu.my</email></corresp>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Antimicrobials, Resistance and Chemotherapy, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>653562</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>01</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>05</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Asghar, Tan, Shahid, Yow and Lahiri.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Asghar, Tan, Shahid, Yow and Lahiri</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>With a continuous threat of antimicrobial resistance on human health worldwide, efforts for new alternatives are ongoing for the management of bacterial infectious diseases. Natural products of land and sea, being conceived to be having fewer side effects, pose themselves as a welcome relief. In this respect, we have taken a scaffolded approach to unearthing the almost unexplored chemical constituents of Malaysian red seaweed, <italic>Gracilaria edulis</italic>. Essentially, a preliminary evaluation of the ethyl acetate and acetone solvent extracts, among a series of six such, revealed potential antibacterial activity against six MDR species namely, <italic>Klebsiella pneumoniae</italic>, <italic>Pseudomonas aeruginosa</italic>, <italic>Salmonella enterica</italic>, methicillin-resistant <italic>Staphylococcus aureus</italic> (MRSA), <italic>Streptococcus pyogenes</italic>, and <italic>Bacillus subtilis</italic>. Detailed analyses of the inlying chemical constituents, through LC-MS and GC-MS chromatographic separation, revealed a library of metabolic compounds. These were led for further virtual screening against selected key role playing proteins in the virulence of the aforesaid bacteria. To this end, detailed predictive pharmacological analyses added up to reinforce Eplerenone as a natural alternative from the plethora of plausible bioactives. Our work adds the ongoing effort to re-discover and repurpose biochemical compounds to combat the antimicrobial resistance offered by the Gram-positive and the -negative bacterial species.</p>
</abstract>
<kwd-group>
<kwd>antimicrobial resistance</kwd>
<kwd><italic>Gracilaria edulis</italic></kwd>
<kwd>red seaweed</kwd>
<kwd>bioactive compounds</kwd>
<kwd>virtual screening</kwd>
<kwd>eplerenone</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="77"/>
<page-count count="13"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Antimicrobial resistance (AMR) has become a critical concern for public health worldwide. Numerous pathogens have started to evolve and progressively develop resistance toward currently in-practice antibiotics, thereby adding, in essence, to global morbidity and mortality for the diseases caused by these pathogens (<xref ref-type="bibr" rid="B65">Subramani et al., 2017</xref>). Besides such evolutionary constraints, multidrug resistance (MDR) in bacterial strains, also spreads from irrational usages of antibiotics (<xref ref-type="bibr" rid="B60">Shrestha et al., 2018</xref>). In this regard, several pathogens have posed resistance toward different types of antibiotics. Notable among them is vancomycin-resistant <italic>Enterococcus faecium</italic>, methicillin-resistant <italic>Staphylococcus aureus</italic> (MRSA), carbapenem-resistant <italic>Acinetobacter baumannii</italic> and <italic>Pseudomonas aeruginosa</italic>, clarithromycin-resistant <italic>Helicobacter pylori</italic>, fluoroquinolone-resistant <italic>Salmonella</italic> and <italic>Campylobacter</italic> spp., cephalosporin- and fluoroquinolone-resistant <italic>Neisseria gonorrhoeae</italic> and carbapenem-resistant and extended-spectrum beta-lactamase (ESBL) creating <italic>Enterobacteriaceae</italic> (<xref ref-type="bibr" rid="B73">World Health Organization [WHO], 2017</xref>). Moreover, the development of new antibiotics has slowed down over the past few decades while the emergence rate of resistant pathogens is high (<xref ref-type="bibr" rid="B71">Ventola, 2015</xref>). This necessitates an immediate exploration of novel antibacterials to combat the MDR threats.</p>
<p>To unearth novel antimicrobials for clinicians and pharmacological industries, efforts are focused on exploring the natural products from land and sea. This is due to the fact that natural products, with effective antimicrobial potency, have been proven successful in sufficiently reducing the worldwide load of infectious illnesses (<xref ref-type="bibr" rid="B41">M&#x00E9;rillon and Rivi&#x00E8;re, 2018</xref>). They are, therefore, used as alternative agents to eradicate the extensive use of synthetic drugs and related antibiotics (<xref ref-type="bibr" rid="B10">Cheesman et al., 2017</xref>). In fact, marine organisms, such as seaweeds and diatoms, are considered as novel sources of bioactive constituents which produce a vast diversity of secondary metabolites, revealing a broad spectrum of biological actions (<xref ref-type="bibr" rid="B18">El Shafay et al., 2016</xref>). In this context, <xref ref-type="bibr" rid="B29">Ismail et al. (2016)</xref> have screened different types of seaweeds, namely, green <italic>Cladophora pellucida</italic>, brown <italic>Padina tetrastromatica</italic>, and red <italic>Laurencia papillosa</italic> for the isolation of antimicrobial agents.</p>
<p>In line with the exploration of seaweeds for novel antimicrobials, secondary metabolites like phlorotannins, acrylic acid, terpenoids, phenolic compounds, steroids, halogenated ketones, alkaline, fatty acid and cyclic polysulphides have been unearthed (<xref ref-type="bibr" rid="B11">Cheung et al., 2015</xref>; <xref ref-type="bibr" rid="B31">Khelil-Radji et al., 2017</xref>). These bioactive constituents have biological potentials including dietary, antifungal, anti-inflammatory, anti-ageing, antibacterial, antioxidant, anticancer, anticoagulation, anti-malarial and anti-proliferation (<xref ref-type="bibr" rid="B9">Chan et al., 2015</xref>; <xref ref-type="bibr" rid="B3">Agreg&#x00E1;n et al., 2017</xref>). Moreover, growing evidence has revealed that red seaweeds contain a broad spectrum of secondary metabolites with antibacterial potentials (<xref ref-type="bibr" rid="B30">Kasanah et al., 2019</xref>). In fact, in Asian countries, red seaweeds are generally used as food materials and find extensive usages as seasonings, sushi wrappings, condiments, vegetables, noodles, and for polysaccharide production for the food and pharmaceutical industries (<xref ref-type="bibr" rid="B59">Seedevi et al., 2017</xref>). In this regard, the red seaweed, <italic>Gracilaria edulis</italic>, has attracted extensive consideration due to its biological and pharmacological applications and several therapeutic benefits.</p>
<p>With a broad range of biological activities of <italic>G. edulis</italic>, encompassing antibacterial, anticoagulant, antidiabetic, antioxidant, antiproliferative and anti-inflammatory activities (<xref ref-type="bibr" rid="B14">De Almeida et al., 2011</xref>), they have been considered as likely natural functional foods (<xref ref-type="bibr" rid="B54">Rosemary et al., 2019</xref>). In fact, few researchers have even reported its <italic>in vitro</italic> antibacterial activities. For instance, <xref ref-type="bibr" rid="B26">Hemasudha et al. (2019)</xref> determined the antibacterial activity of the methanol extract of <italic>G. edulis</italic> against <italic>S. aureus</italic> and <italic>P. aeruginosa</italic>, having a significant activity, with inhibition zone of 18mm and 19mm being recorded, respectively. Similarly, <xref ref-type="bibr" rid="B69">Umakanthan et al. (2017)</xref> described the antibacterial effects of the crude extract of <italic>G. edulis</italic> against <italic>S. aureus</italic> and <italic>Escherichia coli</italic>. Moreover, <xref ref-type="bibr" rid="B30">Kasanah et al. (2019)</xref> reported the antibacterial activity against bacterial fish pathogens like <italic>Vibrio fluvialis</italic> and <italic>Vibrio compbelii</italic>. Again, <xref ref-type="bibr" rid="B4">Arulkumar et al. (2018)</xref> confirmed the methanol extract of <italic>G. edulis</italic> to have remarkable inhibitory activity toward <italic>Bacillus subtilis</italic>, <italic>S. aureus</italic>, <italic>E. coli</italic> and <italic>Pseudomonas fluorescens</italic>.</p>
<p>In this study, thus, we have detailed a stepwise approach of determining the efficacy of different solvent-based crude extracts of Malaysian <italic>G. edulis</italic> against clinically important MDR bacterial species namely, <italic>Klebsiella pneumoniae</italic>, <italic>P. aeruginosa</italic>, <italic>Salmonella enterica</italic>, MRSA, <italic>Streptococcus pyogenes</italic> and <italic>B. subtilis</italic>. Further chemical profiling of the extracts through LC-MS and GC-MS revealed their potential chemical determinants. These were screened virtually and pharmacologically to unveil potential novel bioactive compounds. To this end, a molecular dynamics simulation by our shortlisted bioactive compounds, Eplerenone, on selected virulent protein targets of the aforementioned bacteria, revealed its high potential as an effective antibacterial compound, targeting both the gram-positive and the -negative pathogens.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Collection of Materials</title>
<sec id="S2.SS1.SSS1">
<title>Solvents</title>
<p>For crude extractions, HPLC grade organic solvents with increasing polarities were used. These comprised chloroform (99.9%, Sigma-Aldrich, LiChrosolv, Malaysia), ethyl acetate, acetone (99.5% Chemiz, Malaysia), ethanol, methanol (99.8%, ChemAR, Systerm, Malaysia) and double-distilled Milli-Q Type 1 water (MilliporeMerck, Germany). For LC-MS and GC-MS analyses, however, MS grade solvents were used.</p>
</sec>
<sec id="S2.SS1.SSS2">
<title>Seaweeds</title>
<p>Healthy specimens of <italic>Gracilaria edulis</italic> were collected from Pantai Morib, Selangor, Malaysia.</p>
</sec>
<sec id="S2.SS1.SSS3">
<title>Bacterial Strains</title>
<p>A total of six clinical isolates, including three each of Gram-positive and Gram-negative, were used in the study. These comprised <italic>Bacillus subtilis</italic> (ATCC-11774), <italic>Streptococcus pyogenes</italic> (ATCC-49399), methicillin-resistant <italic>Staphylococcus aureus</italic> (MRSA) (MTCC-381123), <italic>Klebsiella pneumoniae</italic> (ATCC-700603), <italic>Pseudomonas aeruginosa</italic> (ATCC-10145), and <italic>Salmonella enterica</italic> (ATCC-14028), these strains were received from the Department of Biological Sciences (DBS), School of Medical and Life Sciences, Sunway University, Malaysia. All these six bacterial strains were found to be resistant to at least five of the ten antibiotics tested for their resistivity/sensitivity profile and thus, considered to be multidrug resistant (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>).</p>
</sec>
</sec>
<sec id="S2.SS2">
<title>Crude Extracts Preparation</title>
<p>Extracts of <italic>G. edulis</italic> were prepared through two different approaches, namely, sequential and direct, following the procedure of <xref ref-type="bibr" rid="B64">Subermaniam et al. (2020)</xref>. For the sequential process, the aforementioned solvents were used in the order of increasing polarity <italic>viz.</italic> chloroform &#x003C; ethyl acetate &#x003C; acetone &#x003C; ethanol &#x003C; methanol &#x003C; water. For the direct extracts, ethyl acetate and acetone were used only. Essentially, for both approaches, the seaweeds were rinsed sequentially with seawater followed by normal tap and then double distilled water to eradicate dirt and impurities. Clean samples were then dried using a freeze-dryer and later crushed into fine granule powder using an electric grinder. Different fractions of extracts were prepared using 10 grams of each powder to dissolve them in 100 mL of the above-mentioned solvents. All the prepared mixtures were made homogeneous using a rotating shaker (Yihder LM-530D, Shaker, Taiwan) for 24 h and finally centrifuged (Eppendorf 5810 R Centrifuge, Germany) at 4000 rpm for 10 min at 4&#x00B0;C to separate the supernatant. Each of the clear supernatants of the extracts was concentrated via a Rotary evaporator (Thermo Fisher Scientific EYELA N-1200A Rotary Evaporator, Tokyo). A further concentration using a vacuum concentrator (LaboGene, Brigachtal, Germany) was done to obtain a viscous liquid for storage at 4&#x00B0;C and future experiments.</p>
</sec>
<sec id="S2.SS3">
<title>Potential <italic>in vitro</italic> Antibacterial Activities</title>
<sec id="S2.SS3.SSS1">
<title>Disc-Diffusion Test</title>
<p>All the microorganisms were tested for their response against the crude extract fractions (CEF) of <italic>G. edulis</italic>. Essentially, a loopful of inocula was swabbed on plates containing Mueller-Hinton Agar (MHA, Oxoid). This was followed by soaking 6 mm sterilized paper discs with different crude extract fractions and placing them on those plates to be incubated for 16 h at 37&#x00B0;C. Gentamicin having a concentration of 10 &#x03BC;g/disc served as a positive control along with DMSO (&#x003C;1%) as solvent control. The activities of each of the CEF were recorded by measurement of the diameter of inhibition zones. All experiments were performed with technical triplicates, and twice, to render two biological duplicates.</p>
</sec>
<sec id="S2.SS3.SSS2">
<title>Broth Dilution Assay</title>
<p>To assess the minimum inhibitory concentration (MIC) values of the CEF, broth dilution assay was used, following Clinical &#x0026; Laboratory Standards Institute (CLSI) measures. This was initiated by adding 5 &#x03BC;L of each CEF onto 96-well plates, containing 5 &#x00D7; 10<sup>5</sup> CFU/mL bacterial cells, to a range of final concentrations from 250 to 2000 &#x03BC;g/mL. These plates were incubated for 16 h at 37&#x00B0;C. Three different controls were maintained for each trial. These were Gentamicin (10 &#x03BC;g/mL) as the positive control, DMSO &#x003C; 1% as solvent control and bacterial inoculum as the negative control. The MIC<sub>50</sub> value was determined from the lowest concentration of the tested CEF, displaying inhibitory result toward the pathogens, as recorded through the Microplate reader (TECAN, Infinite-M200-PRO). Biological duplicates were used to confirm each trial having technical triplicates. The CEF of ethyl acetate (EA) and acetone (AC), having notable results, were utilized for further chromatographic separation analyses.</p>
</sec>
</sec>
<sec id="S2.SS4">
<title>Statistical Tests</title>
<p>All the tests in the present study were performed in triplicates and the data obtained are expressed as the mean &#x00B1; standard deviation (S.D). The <italic>P</italic>-values were determined using student&#x2019;s <italic>T</italic>-test, two-tailed distribution, where <sup>&#x2217;</sup> refers to <italic>P</italic> &#x2264; 0.05. These have been reflected in <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>, <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>, and <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 4</xref>, <xref ref-type="supplementary-material" rid="DS1">5</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Antibacterial activity of <italic>G. edulis</italic> rhizome sequential and direct crude extracts via disc diffusion.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="center" colspan="7">Zones of Inhibition (mm)<hr/></td>
</tr>
<tr>
<td valign="top" align="left">Bacteria</td>
<td valign="top" align="center">P.C</td>
<td valign="top" align="center">S.C</td>
<td valign="top" align="center">EA</td>
<td valign="top" align="center">AC</td>
<td valign="top" align="center">EA(D)</td>
<td valign="top" align="center">AC(D)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>B. subtilis</italic></td>
<td valign="top" align="center">32.00 &#x00B1; 0.70</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">9.26 &#x00B1; 0.52</td>
<td valign="top" align="center">7.00 &#x00B1; 0.56</td>
</tr>
<tr>
<td valign="top" align="left">MRSA</td>
<td/>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. pyogenes</italic></td>
<td/>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P. aeruginosa</italic></td>
<td/>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
</tr>
<tr>
<td valign="top" align="left"><italic>K. pneumoniae</italic></td>
<td/>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">6.5 &#x00B1; 0.42</td>
<td valign="top" align="center">6.8 &#x00B1; 0.14</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. enterica</italic></td>
<td/>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
<td valign="top" align="center">&#x2212;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>&#x201C;&#x2212;&#x201D; no activity, P.C: positive control (Gentamicin 10 &#x03BC;g), SC: solvent control (DMSO &#x003C; 1%), EA: ethyl acetate, AC: acetone, EA(D): ethyl acetate direct; AC(D): acetone direct. The data is expressed as the mean &#x00B1; standard error of two independent experiments performed in technical triplicates.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>MIC<sub>50</sub> of the <italic>G. edulis</italic> sequential and direct extracts against all tested pathogens.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="center" colspan="5">MIC<sub>50</sub> (&#x03BC; g/mL)<hr/></td>
</tr>
<tr>
<td valign="top" align="left">Microorganisms</td>
<td valign="top" align="center">EA</td>
<td valign="top" align="center">AC</td>
<td valign="top" align="center">EA(D)</td>
<td valign="top" align="center">AC(D)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>B. subtilis</italic></td>
<td valign="top" align="center">2000</td>
<td valign="top" align="center">2000</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">250</td>
</tr>
<tr>
<td valign="top" align="left">MRSA</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">250</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. pyogenes</italic></td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">250</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P. aeruginosa</italic></td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">2000</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">250</td>
</tr>
<tr>
<td valign="top" align="left"><italic>K. pneumonia</italic></td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">250</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. enterica</italic></td>
<td valign="top" align="center">2000</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="center">250</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>ND: not determined, AC: acetone, ET: ethanol, EA(D): ethyl acetate direct; AC(D): acetone direct. The illustrated MIC<sub>50</sub> values are the lowest inhibitory concentrations achieved from two independent trials performed in triplicate.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S2.SS5">
<title>Exploration of Chemical Constituents Through Chromatographic Analyses</title>
<sec id="S2.SS5.SSS1">
<title>Liquid Chromatography With Mass Spectrometry (LC-MS)</title>
<p>To gain a detailed understanding of the standard and novel chemical constituents of <italic>G</italic>. <italic>edulis</italic>, the EA and AC CEF were analyzed via LC-MS as per the method described by <xref ref-type="bibr" rid="B76">Yap et al. (2019)</xref>. Systematic errors were eliminated by using reference solution along with the two ions, having m/z of 121.0508 and 92266.0097, being selected for mass calibration. To this end, the mass spectra for the chemical constituents for the said CEF were run against the database of NIST (National Institutes of Standard and Technology, Gaithersburg, MD, United States) via the Mass Spectral Search Program-2009 version 2, for the documentation of homologous chemical compounds through the Agilent Mass-Hunter Qualitative Analysis B.05.00 software.</p>
</sec>
</sec>
<sec id="S2.SS6">
<title>Gas Chromatography With Mass Spectrometry (GC-MS)</title>
<p>To gain a further understanding of the constituents in the CEF of the volatile solvents EA and AC, they were subjected to gas chromatographic followed by mass spectrometric analysis, using Agilent technologies model 7890B GC System coupled with Pegasus HT High Throughput TOFMS (Leco Corp., MI, The United States). Typically, an aliquot of an extract of 1ml was injected into the GC-MS apparatus. To this end, Agilent J&#x0026;W HP-5MS analytic column comprising phenyl methyl siloxane and having the dimensions of length 30 m, Dia. 0.32 mm, Film, 0.25 &#x03BC;m, was used to separate components under an inert atmosphere of helium (1.5 mL/min). Additional standardized parameters utilized during the process comprised an initial oven temperature of 80&#x00B0;C (2 min) increased to 300&#x00B0;C at the rate of 3&#x00B0;C/min, a solvent delay time of 5 min, an inlet line temperature of 225&#x00B0;C, along with an ion source temperature of 250&#x00B0;C. Keeping a GC run time of sixty-four (64) mins, the mass spectra readings were taken at 70 eV along with an acquisition mode-scan of 20-1000 amu. Using a database of NIST libraries, these mass spectral results were interpreted and deciphered phytochemicals were documented.</p>
</sec>
<sec id="S2.SS7">
<title><italic>In silico</italic> Analysis of Chemical Determinants on Selected Protein Targets</title>
<sec id="S2.SS7.SSS1">
<title>Database Searching and Model Acquisition</title>
<p>An estimation of the efficacies of the chemical determinants as antibacterials were obtained through their <italic>in silico</italic> analyses against target proteins of the six bacteria namely, <italic>S. enterica</italic>, <italic>K. pneumoniae</italic>, <italic>P. aeruginosa</italic>, Methicillin-Resistant <italic>S. aureus</italic>, <italic>S. pyogenes</italic>, and <italic>B. subtilis</italic>. In this regard, all virulence factors (VFs), occurring in the proteome of these bacteria were identified through the Virulence Factor Database (VFDB) (<xref ref-type="bibr" rid="B38">Liu et al., 2019</xref>). These VFs were being queried on Protein Data Bank (PDB) (<xref ref-type="bibr" rid="B8">Berman et al., 2000</xref>) to search for the available crystallized 3D structures of the proteins. Of these, two were selected from each bacteria of interest based on their physiological importance, the resolution, and sequence coverage for subsequent analyses, prioritizing the full-length crystallized proteins (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). Essentially, PrgK and PrgH for <italic>S. enterica</italic>, IucA and IucC for <italic>K. pneumoniae</italic>, WaaP and AlgE for <italic>P. aeruginosa</italic>, CapE and EsxA for <italic>S. aureus</italic>, LepA and SmeZ-2 for <italic>S. pyogenes</italic> as well as DhbE and CesB for <italic>B. subtilis</italic>, were selected. Moreover, validated homology models of the DnaK protein from <italic>P. aeruginosa</italic> and <italic>S. aureus</italic> were retrieved from a previous study (<xref ref-type="bibr" rid="B5">Asghar et al., 2020</xref>).</p>
</sec>
<sec id="S2.SS7.SSS2">
<title>Prediction of Druggable Pockets</title>
<p>To identify the druggable pockets of each selected target protein for further structure-based screening, the 3D localization of the druggable pockets were predicted via a template-independent machine learning-based approach known as P2Rank (<xref ref-type="bibr" rid="B35">Kriv&#x00E1;k and Hoksza, 2018</xref>). The top-ranked predicted pockets, for each protein, were carried over for further analyses (<xref ref-type="fig" rid="F1">Figure 1</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>3D representation of the P2Rank predicted druggable pockets (cyan) of selected proteins (indigo). Pa and Sa denote <italic>P. aeruginosa</italic> and <italic>S. aureus</italic>, respectively.</p></caption>
<graphic xlink:href="fmicb-12-653562-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS7.SSS3">
<title>Structure-Based Virtual Screening of Chemical Compounds</title>
<p>The ability of each chemical compounds identified from prior chromatographic extractions to target the selected target proteins at the predicted druggable pockets were assessed via POAP, an <italic>in silico</italic> virtual screening pipeline powered by AutoDock 4.2 (<xref ref-type="bibr" rid="B43">Morris et al., 2009</xref>; <xref ref-type="bibr" rid="B58">Samdani and Vetrivel, 2018</xref>). Before the preparation of the ligands, those consisting of uncommon atoms, such as Silicon, Nickel, and Molybdenum, were excluded from further analyses to avoid inaccuracies. Moreover, ligands with more than 32 torsions were excluded as well as per AutoDock 4.2&#x2019;s limitation. Following the POAP Ligand Preparation pipeline, SMILES notations of the ligands were converted into 3D structures. The MMFF94 force field was utilized for ligand optimization before virtual screening. Moreover, the best conformers were selected for each ligand from the 50 conformers generated through Weighted Rotor Search. Furthermore, the ligands were minimized via the conjugate gradient algorithm for 5000 steps. Before PDBQT file generation, physiological protonation states of the ligands were generated using the Chimera addH function (<xref ref-type="bibr" rid="B50">Pettersen et al., 2004</xref>).</p>
<p>For the target proteins, the PDB retrieved structures were cleaned before their PDBQT structures were generated, of which non-amino acid residues were removed and structural optimizations were carried out via the Chimera Dock Prep function (<xref ref-type="bibr" rid="B50">Pettersen et al., 2004</xref>). The grids, for virtual screening space of search, were set to encompass the docking pockets previously predicted by P2Rank (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>).</p>
</sec>
<sec id="S2.SS7.SSS4">
<title>Pharmacological Properties Screening</title>
<p>The chemical compounds were screened for drug-likeness rules and ADME properties via SwissADME (<xref ref-type="bibr" rid="B13">Daina et al., 2017</xref>). Essentially, the potentially druggable molecules were screened through pharmacological properties encompassing the properties of absorption, good gastrointestinal (GI) absorption, bad BBB permeability and non-P-glycoprotein (PGP) substrates. Moreover, concerning metabolism, we prioritize non-cytochrome P450 inhibitors to avoid adverse effects upon the co-administration of drugs. Furthermore, we have considered five rules for ascertaining the drug-likeness, namely, Lipinski, Ghose, Veber, Egan, and Muegge rules (<xref ref-type="bibr" rid="B23">Ghose et al., 1999</xref>; <xref ref-type="bibr" rid="B16">Egan et al., 2000</xref>; <xref ref-type="bibr" rid="B44">Muegge et al., 2001</xref>; <xref ref-type="bibr" rid="B70">Veber et al., 2002</xref>; <xref ref-type="bibr" rid="B37">Lipinski, 2004</xref>). Finally, higher bioavailability scores (Abbot Bioavailability Score) were preferred to ensure high drug efficiency (more than 10%) upon oral administration (<xref ref-type="bibr" rid="B24">Hann and Keseru, 2012</xref>).</p>
</sec>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<sec id="S3.SS1">
<title>Variable Antibacterial Activity of Crude Extracts by Disc Diffusion</title>
<p>Disc diffusion technique was utilized to perform an initial screening for the antibacterial activities of the <italic>G. edulis</italic> different solvent-based CEF, prepared freshly, for all the trials. In each case, the solvent control (SC), DMSO, displayed no inhibition zone thereby establishing no antibacterial activity toward the tested bacterial species (TBS). Furthermore, none of the sequential CEF revealed activity toward the TBS (<xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>), although, in the case of direct CEF, the scenario was fairly different. Extract EA(D) and AC(D) showed moderate ZOI toward <italic>B. subtilis</italic> and <italic>P. aeruginosa</italic> but did not show activity against the rest of the TBS (RTBS) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec id="S3.SS2">
<title>Antibacterial Screening of Crude Extracts via Broth Dilution</title>
<p>A broth dilution test was used for estimating the antibacterial activity of <italic>G. edulis</italic> crude extracts by calculating the inhibition percentage of each TBS. This, in turn, demonstrated the percentages of antibacterial effect of EA and AC, toward the TBS, at concentrations of 250 and 2000 &#x03BC;g/mL, respectively for direct and sequential CEF. In the case of sequential fraction, the extract from EA revealed the maximum percentage (60) of antibacterial activity against <italic>B. subtilis</italic> followed by <italic>S. enterica</italic> (50) while that from AC exhibited 50% effect toward <italic>B. subtilis</italic> and 60% against <italic>K. pneumoniae</italic>. No positive results were detected either against the RTBS (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figures 1a-f</xref>) or for the other solvent CEF of chloroform (CF), ethanol (ET), methanol (MT), and aqueous (water, WT) toward all TBS (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 5</xref>). In direct extracts, CEF of EA displayed inhibition of 90% against <italic>B. subtilis</italic> along with 80, 70, 78, 75, and 72% for MRSA, <italic>S. pyogenes</italic>, <italic>P. aeruginosa, K. pneumonia</italic> and <italic>S. enterica</italic>, respectively. Remarkably, all TBS were inhibited by AC CEF and the percentage of antibacterial effects were 85, 82, 85, 89, 80, and 80, respectively, for <italic>B. subtilis</italic>, MRSA, <italic>S. pyogenes</italic>, <italic>P. aeruginosa, K. pneumonia</italic> and <italic>S. enterica</italic> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figures 1g-l</xref>). The MIC<sub>50</sub> value of all the extracts are presented in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<p>The results obtained from the <italic>G. edulis</italic> CEF of EA and AC offered prominent antibacterial efficacy. This enabled us to use the CEF to further process them for the identification of bioactive compounds through LC-MS and GC-MS analyses.</p>
</sec>
<sec id="S3.SS3">
<title>Exploration of Chemical Components Through Liquid Chromatography&#x2013;Mass Spectrometry (LC-MS) Analysis</title>
<p>For a fast, mass-directed investigation of the probable chemical components of <italic>G. edulis</italic>, its EA and AC sequential CEF were exposed to LC-MS analysis (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figures 2</xref>, <xref ref-type="supplementary-material" rid="DS1">3</xref>). The compounds were matched with the identity of known molecules on the Metlin database, a threshold Molecular Formula Generator (MFG) with scores above 86% along with a &#x00B1; 2% difference. This revealed 22 and 29 matched (<xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 6</xref>, <xref ref-type="supplementary-material" rid="DS1">7</xref>) and 40 and 32 unmatched compounds, for EA and AC CEF, respectively (<xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 8</xref>, <xref ref-type="supplementary-material" rid="DS1">9</xref>). The 51 matched compounds, above the MFG threshold value, were further explored for their reported antibacterial activities and carried forward for virtual screening. Notably, out of a total of 51, 13 compounds from both groups of EA and AC CEF were redundant and the rest 31 have not been reported to date with any antibacterial activities (<xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 6</xref>, <xref ref-type="supplementary-material" rid="DS1">7</xref>).</p>
</sec>
<sec id="S3.SS4">
<title>Identification of Volatile Constituents by Gas Chromatography&#x2013;Mass Spectrometry (GC-MS)</title>
<p>To find any volatile organic bioactive compounds, existing in the EA and AC sequential &#x0026; direct CEF of Malaysian <italic>G. edulis</italic>, they were subjected to GC-MS analysis (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figures 4</xref>-<xref ref-type="supplementary-material" rid="DS1">7</xref>). The chromatogram of the compounds presented mentionable area% scores (above 0.5%). This revealed 12 and 8 compounds, for the sequential EA and AC CEF, respectively (<xref ref-type="table" rid="T3">Table 3</xref>) along with 15 and 7 for the direct CEF of EA &#x0026; AC, respectively (<xref ref-type="table" rid="T4">Table 4</xref>). Combining the total number of 42 compounds obtained from the GC-MS analyses of EA and AC sequential &#x0026; direct CEF and removing the redundant ones, the unique number appears to be 28 out of which 25 compounds revealed to have not been associated with any antibacterial activities (<xref ref-type="table" rid="T3">Tables 3</xref>, <xref ref-type="table" rid="T4">4</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Compounds existing in <italic>G. edulis</italic> ethyl acetate and acetone (S) extract identified by GC-MS analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Extracts</td>
<td valign="top" align="left">Identified compounds</td>
<td valign="top" align="left">Molecular formula</td>
<td valign="top" align="center">R.T. (Min)</td>
<td valign="top" align="center">Area%</td>
<td valign="top" align="left">Antibacterial activity report</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left"><bold>EA(S)</bold></td>
<td valign="top" align="left">3,8,13,18-Tetraethyl-2,7,12,17-tetramethyl-7, 8-(diacetyl) methylene-7,8-dihydro-21H,23H-porphine copper (II)</td>
<td valign="top" align="left">C<sub>37</sub>H<sub>42</sub>CuN<sub>4</sub>O<sub>2</sub></td>
<td valign="top" align="center">32.09</td>
<td valign="top" align="center">4.035</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td/>
<td valign="top" align="left">Phenol, 2,4-bis(1,1-dimethylethyl)</td>
<td valign="top" align="left">C<sub>14</sub>H<sub>22</sub>O</td>
<td valign="top" align="center">14.41</td>
<td valign="top" align="center">3.925</td>
<td valign="top" align="left">Reported (Padmavathi <italic>et al.</italic>, 2014)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td/>
<td valign="top" align="left">Phytol</td>
<td valign="top" align="left">C<sub>20</sub>H<sub>40</sub>O</td>
<td valign="top" align="center">26.67</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="left">Reported (Ghaneian <italic>et al.</italic>, 2015)</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td/>
<td valign="top" align="left">Decanoic acid, ethyl ester</td>
<td valign="top" align="left">C<sub>12</sub>H<sub>24</sub>O<sub>2</sub></td>
<td valign="top" align="center">24.54</td>
<td valign="top" align="center">1.787</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td/>
<td valign="top" align="left">n-Hexadecanoic acid</td>
<td valign="top" align="left">C<sub>16</sub>H<sub>32</sub>O<sub>2</sub></td>
<td valign="top" align="center">23.98</td>
<td valign="top" align="center">5.008</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td/>
<td valign="top" align="left">3-Methyl-1,2-diazirine</td>
<td valign="top" align="left">C<sub>2</sub>H<sub>4</sub>N<sub>2</sub></td>
<td valign="top" align="center">3.01</td>
<td valign="top" align="center">7.529</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td/>
<td valign="top" align="left">1-Octadecyne</td>
<td valign="top" align="left">C<sub>18</sub>H<sub>34</sub></td>
<td valign="top" align="center">21.52</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td/>
<td valign="top" align="left">Diisooctyl phthalate</td>
<td valign="top" align="left">C<sub>24</sub>H<sub>38</sub>O<sub>4</sub></td>
<td valign="top" align="center">33.77</td>
<td valign="top" align="center">0.914</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td/>
<td valign="top" align="left">1,2-Benzenediol bis(trimethylsilyl) ether</td>
<td valign="top" align="left">C<sub>12</sub>H<sub>22</sub>O<sub>2</sub>Si<sub>2</sub></td>
<td valign="top" align="center">57.93</td>
<td valign="top" align="center">2.052</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td/>
<td valign="top" align="left">Nickel tetracarbonyl</td>
<td valign="top" align="left">C<sub>4</sub>NiO<sub>4</sub></td>
<td valign="top" align="center">3.1</td>
<td valign="top" align="center">1.797</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td/>
<td valign="top" align="left">4-Penten-2-one, 4-methyl-</td>
<td valign="top" align="left">C<sub>6</sub>H<sub>10</sub>O</td>
<td valign="top" align="center">10.91</td>
<td valign="top" align="center">1.628</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td/>
<td valign="top" align="left">Molybdenum, bis[(1,2,3,4,5-&#x00FC;)-1,3-bis(1,1-dimethylethyl)-2,4-cyclopentadien-1-yl] di-ae- carbonyldicarbonyldi-, (mo-mo)</td>
<td valign="top" align="left">C<sub>16</sub>H<sub>10</sub>Mo<sub>2</sub>O<sub>6</sub><sup>&#x2013;6</sup></td>
<td valign="top" align="center">52.89</td>
<td valign="top" align="center">0.646</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left"><bold>AC(S)</bold></td>
<td valign="top" align="left">Phenol, 2,4-bis(1,1-dimethylethyl)-</td>
<td valign="top" align="left">C<sub>14</sub>H<sub>22</sub>O</td>
<td valign="top" align="center">14.41</td>
<td valign="top" align="center">0.771</td>
<td valign="top" align="left">Reported (Padmavathi <italic>et al.</italic>, 2014)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td/>
<td valign="top" align="left">n-Hexadecanoic acid</td>
<td valign="top" align="left">C<sub>16</sub>H<sub>32</sub>O<sub>2</sub></td>
<td valign="top" align="center">24.08</td>
<td valign="top" align="center">9.078</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td/>
<td valign="top" align="left">Diisooctyl phthalate</td>
<td valign="top" align="left">C<sub>24</sub>H<sub>38</sub>O<sub>4</sub></td>
<td valign="top" align="center">33.77</td>
<td valign="top" align="center">3.878</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td/>
<td valign="top" align="left">26-Nor-5-cholesten-3&#x00E1;-ol-25-one</td>
<td valign="top" align="left">C<sub>26</sub>H<sub>42</sub>O<sub>2</sub></td>
<td valign="top" align="center">45.57</td>
<td valign="top" align="center">1.725</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td/>
<td valign="top" align="left">Hexadecanoic acid, ethyl ester</td>
<td valign="top" align="left">C<sub>18</sub>H<sub>36</sub>O<sub>2</sub></td>
<td valign="top" align="center">24.54</td>
<td valign="top" align="center">2.074</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td/>
<td valign="top" align="left">Arachidonic acid</td>
<td valign="top" align="left">C<sub>20</sub>H<sub>32</sub>O<sub>2</sub></td>
<td valign="top" align="center">30.23</td>
<td valign="top" align="center">1.039</td>
<td valign="top" align="left">Reported (Beavers <italic>et al.</italic>, 2019)</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td/>
<td valign="top" align="left">Nickel tetracarbonyl</td>
<td valign="top" align="left">C<sub>4</sub>NiO<sub>4</sub></td>
<td valign="top" align="center">7.51</td>
<td valign="top" align="center">1.329</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td/>
<td valign="top" align="left">2-Heptyl-1,3-dioxolane</td>
<td valign="top" align="left">C<sub>10</sub>H<sub>20</sub>O<sub>2</sub></td>
<td valign="top" align="center">53.21</td>
<td valign="top" align="center">2.882</td>
<td valign="top" align="left">NR</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>NR, Not reported; S, sequential extracts.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Compounds existing in <italic>G. edulis</italic> ethyl acetate and acetone (D) extracts identified by GC-MS analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Extracts</td>
<td valign="top" align="left">Identified compounds</td>
<td valign="top" align="left">Molecular formula</td>
<td valign="top" align="center">R.T. (Min)</td>
<td valign="top" align="center">Area%</td>
<td valign="top" align="left">Antibacterial activity reports</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left"><bold>EA(D)</bold></td>
<td valign="top" align="left">Phenol, 2-methoxy-3-(2-propenyl)-</td>
<td valign="top" align="left">C<sub>10</sub>H<sub>12</sub>O<sub>2</sub></td>
<td valign="top" align="center">10.73283</td>
<td valign="top" align="center">6.3257</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td/>
<td valign="top" align="left">Phenol, 2,4-bis(1,1-dimethylethyl)</td>
<td valign="top" align="left">C<sub>14</sub>H<sub>22</sub>O</td>
<td valign="top" align="center">14.44737</td>
<td valign="top" align="center">7.7157</td>
<td valign="top" align="left">Reported (<xref ref-type="bibr" rid="B48">Padmavathi et al., 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td/>
<td valign="top" align="left">n-Hexadecanoic acid</td>
<td valign="top" align="left">C<sub>16</sub>H<sub>32</sub>O<sub>2</sub></td>
<td valign="top" align="center">24.12967</td>
<td valign="top" align="center">9.1086</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td/>
<td valign="top" align="left">Diisooctyl phthalate</td>
<td valign="top" align="left">C<sub>24</sub>H<sub>38</sub>O<sub>4</sub></td>
<td valign="top" align="center">33.80467</td>
<td valign="top" align="center">0.56258</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td/>
<td valign="top" align="left">Cholesterol</td>
<td valign="top" align="left">C<sub>27</sub>H<sub>46</sub>O</td>
<td valign="top" align="center">45.68133</td>
<td valign="top" align="center">32.831</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td/>
<td valign="top" align="left">Non-adecane</td>
<td valign="top" align="left">C<sub>19</sub>H<sub>40</sub></td>
<td valign="top" align="center">18.65483</td>
<td valign="top" align="center">4.034</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td/>
<td valign="top" align="left">Decanoic acid, ethyl ester</td>
<td valign="top" align="left">C<sub>12</sub>H<sub>24</sub>O<sub>2</sub></td>
<td valign="top" align="center">24.5795</td>
<td valign="top" align="center">5.3174</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td/>
<td valign="top" align="left">Arachidonic acid</td>
<td valign="top" align="left">C<sub>20</sub>H<sub>32</sub>O<sub>2</sub></td>
<td valign="top" align="center">30.26833</td>
<td valign="top" align="center">1.4028</td>
<td valign="top" align="left">Reported (<xref ref-type="bibr" rid="B7">Beavers et al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td/>
<td valign="top" align="left">1-Octadecyne</td>
<td valign="top" align="left">C<sub>18</sub>H<sub>34</sub></td>
<td valign="top" align="center">21.55767</td>
<td valign="top" align="center">0.63897</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td/>
<td valign="top" align="left">Silane, tetramethyl</td>
<td valign="top" align="left">C<sub>4</sub>H<sub>12</sub>Si</td>
<td valign="top" align="center">61.334</td>
<td valign="top" align="center">0.18473</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td/>
<td valign="top" align="left">2-Tridecanone</td>
<td valign="top" align="left">C<sub>13</sub>H<sub>26</sub>O</td>
<td valign="top" align="center">21.6535</td>
<td valign="top" align="center">0.66248</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td/>
<td valign="top" align="left">Oxalic acid, cyclobutyl octadecyl ester</td>
<td valign="top" align="left">C<sub>24</sub>H<sub>44</sub>O<sub>4</sub></td>
<td valign="top" align="center">28.1485</td>
<td valign="top" align="center">0.15812</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td/>
<td valign="top" align="left">Ribo-ribo disaccharide</td>
<td valign="top" align="left">C<sub>10</sub>H<sub>18</sub>O<sub>9</sub></td>
<td valign="top" align="center">59.13117</td>
<td valign="top" align="center">0.59025</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td/>
<td valign="top" align="left">[2,2&#x2032;-Bifuran]-3-carboxylic acid, 5&#x2032;- methyl-, methyl ester</td>
<td valign="top" align="left">C<sub>11</sub>H<sub>10</sub>O<sub>4</sub></td>
<td valign="top" align="center">14.44403</td>
<td valign="top" align="center">7.7157</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td/>
<td valign="top" align="left">&#x00E1; Carotene</td>
<td valign="top" align="left">C<sub>40</sub>H<sub>56</sub></td>
<td valign="top" align="center">27.802</td>
<td valign="top" align="center">0.9908</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left"><bold>AC(D)</bold></td>
<td valign="top" align="left">Phenol, 2-methoxy-3-(2-propenyl)-</td>
<td valign="top" align="left">C<sub>10</sub>H<sub>12</sub>O<sub>2</sub></td>
<td valign="top" align="center">10.73117</td>
<td valign="top" align="center">8.9936</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td/>
<td valign="top" align="left">Decanoic acid, ethyl ester</td>
<td valign="top" align="left">C<sub>12</sub>H<sub>24</sub>O<sub>2</sub></td>
<td valign="top" align="center">24.57283</td>
<td valign="top" align="center">2.2412</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td/>
<td valign="top" align="left">n-Hexadecanoic acid</td>
<td valign="top" align="left">C<sub>16</sub>H<sub>32</sub>O<sub>2</sub></td>
<td valign="top" align="center">23.96033</td>
<td valign="top" align="center">1.2408</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td/>
<td valign="top" align="left">Diisooctyl phthalate</td>
<td valign="top" align="left">C<sub>24</sub>H<sub>38</sub>O<sub>4</sub></td>
<td valign="top" align="center">33.79967</td>
<td valign="top" align="center">0.85802</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td/>
<td valign="top" align="left">Cholest-5-en-3-ol</td>
<td valign="top" align="left">C<sub>27</sub>H<sub>48</sub>O</td>
<td valign="top" align="center">45.63817</td>
<td valign="top" align="center">3.4662</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td/>
<td valign="top" align="left">Ar-tumerone</td>
<td valign="top" align="left">C<sub>15</sub>H<sub>20</sub>O</td>
<td valign="top" align="center">17.86533</td>
<td valign="top" align="center">1.7063</td>
<td valign="top" align="left">Reported (<xref ref-type="bibr" rid="B39">Marliyana et al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td/>
<td valign="top" align="left">Phenol, 2,4-bis(1,1-dimethylethyl)-</td>
<td valign="top" align="left">C<sub>14</sub>H<sub>22</sub>O</td>
<td valign="top" align="center">14.44403</td>
<td valign="top" align="center">4.6668</td>
<td valign="top" align="left">Reported (<xref ref-type="bibr" rid="B48">Padmavathi et al., 2014</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>NR, Not reported; D, direct extracts.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS5">
<title>Virtual Screening and Pharmacological Screening</title>
<p>Among the total 65 chemical determinants obtained from different chromatographic analyses, 3 having chemical structure redundancies, and 7 which fall into the limitation of AutoDock 4, were discarded from further virtual screening pipeline to avoid inaccuracies in prediction parameterizations. Structure-based virtual screening of the rest 55 chemical determinants was conducted upon the top-ranked P2rank predicted druggable pockets (<xref ref-type="fig" rid="F1">Figure 1</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>) of a set of 12 different bacterial key proteins from <italic>S. enterica</italic> (PrgK and PrgH), <italic>K. pneumoniae</italic> (IucA and IucC), <italic>P. aeruginosa</italic> (WaaP and AlgE), Methicillin-Resistant <italic>S. aureus</italic> (CapE and EsxA), <italic>S. pyogenes</italic> (LepA and SmeZ-2), and <italic>B. subtilis</italic> (DhbE and CesB) (<xref ref-type="fig" rid="F2">Figure 2</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). This has been utilized as the possible role players in determining the antibacterial activity of the <italic>G. edulis</italic> CEF. The complexes of these ligands with the proteins having binding energies around and lower than -7 kcal/mol indicate potentially druggable molecules or drug targets.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Virtual Screening of Chemical Determinants against selected target proteins. <bold>(A)</bold> Scatter plot of virtual screening through multiple bacterial virulent proteins based on their binding energies to each chemical determinant. Pa DnaK refers to <italic>P. aeruginosa</italic> DnaK protein, while Sa DnaK refers to <italic>S. aureus</italic> DnaK protein. <bold>(B)</bold> 3D representation of Eplerenone binding to CapE of MRSA and IucC of <italic>K. pneumoniae</italic>. The localization of active residues involved in binding and hydrogen bonding interactions are shown in the table format.</p></caption>
<graphic xlink:href="fmicb-12-653562-g002.tif"/>
</fig>
<p>With a simultaneous consideration of the structure-based virtual screening and the predicted pharmacological properties of each chemical determinant, Eplerenone turned out to be a highly potentially druggable molecule. This is due to its strong binding affinity to most of the aforesaid proteins, which can be inferred from its moderate average binding score of -6.1007 kcal/mol. Moreover, it has a near-perfect predicted pharmacological properties for which adverse effects, due to ADME complications, would not be expected after intake.</p>
<p>Regarding Eplerenone, three target proteins, namely, CesB, CapE, and IucC, have manifested potential druggability due to stable binding energy lower than -7 kcal/mol <italic>viz.</italic> -7.66 kcal/mol, -7.21 kcal/mol, and -8.8 kcal/mol, respectively. The protein-ligand hydrogen bonding network has been observed for all three proteins (<xref ref-type="fig" rid="F2">Figure 2</xref>). CesB, however, has been ceased for further analysis due to the absence of detectable protein-ligand hydrogen bonds. On the contrary, CapE and IucC have manifested rich intermolecular electrostatic interactions with Eplerenone having 4 hydrogen bonds each, and, therefore, was nominated to be potential drug targets of Eplerenone.</p>
</sec>
</sec>
<sec id="S4">
<title>Discussion</title>
<p>Resistance development of bacteria, to antibiotics, makes them ineffective, thereby resulting in the continuous demand for novel antibacterial agents. Marine organisms are potential sources of antibacterial agents that can probably inhibit the development of MDR bacteria. In the current study, we explored the antibacterial properties of Malaysian <italic>G. edulis</italic>, which are edible red seaweeds, largely found in Southeast Asian countries. Essentially, the <italic>G. edulis</italic> CEF, with various organic solvents, were screened against six MDR bacterial species, namely, <italic>K. pneumoniae</italic>, <italic>P. aeruginosa, S. enterica</italic>, methicillin-resistant <italic>S. aureus</italic> (MRSA), <italic>S. pyogenes</italic>, and <italic>B. subtilis</italic>. The screened CEF, showing promising antibacterial activities, were chromatographed through LC-MS and GC-MS to reveal a plethora of 65 compounds. A virtual screening of these compounds, followed by analyzing pharmacological properties, against selected key role playing proteins of the aforementioned bacteria, revealed Eplerenone as potential drug candidate for future pharmacological industries.</p>
<p>Among the set of six chosen solvents, in order of increasing polarity, i.e., chloroform (CF), ethyl acetate (EA), acetone (AC), ethanol (ET), methanol (MT), and water (WT), our findings confirmed that EA and AC sequential CEF were potentially effective in inhibiting the growth of all TBS. The remaining CEF responded either moderately or poorly, thereby providing a clear indication to proceed for further direct extraction from EA and AC. A moderate zone of inhibition was observed in EA and AC direct CEF against <italic>B. subtilis</italic> and <italic>P. aeruginosa.</italic> A concentration of 250 &#x03BC;g/mL was effective for EA and AC direct CEF against the TBS excluding <italic>S. enterica</italic> for this was 2000 &#x03BC;g/mL. On the contrary, however, in the case of sequential CEFs, EA displayed the inhibitory effect, at 2000 &#x03BC;g/ml, toward only <italic>B. subtilis</italic> and <italic>S. enterica</italic> whereas AC confirmed effect against <italic>B. subtilis</italic>, MRSA and <italic>K. pneumoniae</italic> at the same concentration.</p>
<p>Our findings revealed that EA and AC CEF are suitable for further exploration of the antibacterial properties of the red seaweed <italic>G. edulis</italic>. Our findings were more commensurate with related studies on the EA and AC CEF of red seaweeds, other than <italic>G. edulis</italic>. For instance, <xref ref-type="bibr" rid="B57">Salem et al. (2011)</xref> reported that the EA CEF of the red seaweed <italic>Actinotrichia fragilis</italic> showed positive antibacterial activity against <italic>S. aureus, Bacillus cereus, E. coli, Salmonella</italic> sp. and <italic>P. aeruginosa.</italic> Likewise, <xref ref-type="bibr" rid="B2">Abdel-Latif et al. (2018)</xref> confirmed that the, EA CEF of the red algae, <italic>Grateloupia doryphora</italic> had promising <italic>in vitro</italic> antibacterial potential toward <italic>B. subtilis, E. faecalis, S. aureus, P. aeruginosa</italic>, and <italic>E. coli.</italic> Again, <xref ref-type="bibr" rid="B6">Banu and Mishra (2018)</xref> reported the antibacterial effect of AC CEF of <italic>Tricleocarpa fragilis</italic> against <italic>S. aureus</italic> and <italic>B. cereus.</italic> However, there are few reports on the antibacterial potential of other solvents CEF of <italic>G. edulis</italic> as well. One of the earlier reports by <xref ref-type="bibr" rid="B33">Kolanjinathan et al. (2009)</xref> confirmed antibacterial potency of <italic>G. edulis</italic> ET CEF against <italic>E. coli, Enterobacter aerogenes, S. aureus, P. aeruginosa</italic>, and <italic>Streptococcus faecalis</italic>. Later, <xref ref-type="bibr" rid="B32">Kolanjinathan and Saranraj (2014)</xref> explored the antibacterial potential of MT CEF from <italic>G. edulis</italic> against, <italic>S. pyogenes</italic>, <italic>B. subtilis, S. aureus, Staphylococcus epidermidis, B. cereus</italic>, <italic>K. pneumoniae</italic>, <italic>Salmonella enterica</italic> serovar Typhi, <italic>P. aeruginosa</italic>, and <italic>E. coli.</italic> Recently, <xref ref-type="bibr" rid="B69">Umakanthan et al. (2017)</xref> described antibacterial effects of petroleum ether, hexane, AC, ET and MT CEF of <italic>G. edulis</italic> against <italic>S. aureus</italic> and <italic>E. coli.</italic> Thus, it turns out that our tested EA and AC CEF could reveal a better profile of the chemical compounds or metabolites present in <italic>G. edulis</italic>.</p>
<p>Based on the prominent antibacterial actions of the EA and AC CEF of <italic>G. edulis</italic>, we expected that both these CEF could harbour important bioactive compounds. Thus, sequential extracts of EA and AC CEF were subjected to a detailed mass-oriented LC-MS analysis (<xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 6</xref>, <xref ref-type="supplementary-material" rid="DS1">7</xref>). This revealed a widespread range of chemical classes existing in both the CEF. Amongst these, only 2 of the 22 compounds (with above 86% MFG scores) of the EA CEF have been reported to possess antibacterial activities (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>). For example, the antibacterial effects of L13 (Gingerol) and L19 (Pheophorbide a) have been reported with by <xref ref-type="bibr" rid="B53">Prieto Rodr&#x00ED;guez et al. (2011); Ghasemzadeh et al. (2016)</xref>, respectively. Similarly, the AC extract fractions contained only 5, from a total of 29 compounds, with reported antibacterial activities (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 7</xref>). These are for L11 (6-Paradol) reported by <xref ref-type="bibr" rid="B17">El Dine et al. (2019)</xref>, L22 (Carindone) by <xref ref-type="bibr" rid="B36">Lindsay et al. (2000)</xref>, L23 (Pyropheophorbide a) by <xref ref-type="bibr" rid="B34">Kraatz et al. (2014)</xref>, L24 (Pheophorbide-a) by <xref ref-type="bibr" rid="B53">Prieto Rodr&#x00ED;guez et al. (2011)</xref>, and L28 (Non-oxynol-9) by <xref ref-type="bibr" rid="B27">Hooton et al. (1991)</xref>. Thus, possibilities exist for those 40 and 32 compounds from EA and AC fractions, respectively, with no matched identity with the library (<xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 8</xref>, <xref ref-type="supplementary-material" rid="DS1">9</xref>), to be therapeutically significant, though, further classification is obligatory to assess their usages.</p>
<p>Additional disclosure of important bioactive compounds was authenticated via GC-MS (<xref ref-type="table" rid="T3">Tables 3</xref>, <xref ref-type="table" rid="T4">4</xref>). Notably, both sequential and direct CEF of EA and AC were subjected for GC-MS analysis. In contrast to the LC-MS reported compounds, about 95% of the chemical determinants, extracted through GC-MS, are unidentified for their antibacterial potentials. For example, among the 20 compounds from the sequential CEF of EA and AC (with area% scores above 0.5%) only 2 of the 12 compounds of the EA CEF have been reported with antibacterial properties (<xref ref-type="table" rid="T3">Table 3</xref>). These are SGEA2 reported by <xref ref-type="bibr" rid="B48">Padmavathi et al. (2014)</xref> and SGEA3 by <xref ref-type="bibr" rid="B21">Ghaneian et al. (2015)</xref>. Along with 10 other compounds from EA CEF, the AC CEF contained 8 compounds without any <italic>a priori</italic> reported antibacterial activity (<xref ref-type="table" rid="T3">Table 3</xref>). Likewise, for the direct CEF of EA, only 1 out of 15 compounds detected (with area% scores above 0.5%) were known to possess such activity (<xref ref-type="table" rid="T4">Table 4</xref>). These are DGEA2 reported by <xref ref-type="bibr" rid="B48">Padmavathi et al. (2014)</xref>, DGEA8 by <xref ref-type="bibr" rid="B7">Beavers et al. (2019)</xref>, Again, for the AC CEF, 2 out of total 7 compounds detected, were reported with antibacterial effects (<xref ref-type="table" rid="T4">Table 4</xref>). These are DGAC6 by <xref ref-type="bibr" rid="B39">Marliyana et al. (2019)</xref> and DGAC7 by <xref ref-type="bibr" rid="B48">Padmavathi et al. (2014)</xref>.</p>
<p>Over time, creditable progress in the field of virtual screening has permitted time- and cost-efficient drug discovery with repurposing (<xref ref-type="bibr" rid="B1">Abdella et al., 2020</xref>). Thus, we have considered a similar approach to antibacterial drug discovery from the CEF of Malaysian red seaweed, <italic>G. edulis</italic>. With a set of 65 compounds obtained through chromatographic analyses, we have conducted a series of computational analyses. This ensued with the selection of crucial target proteins from the TBS followed by a virtual screening of the set of chemicals onto the targets through molecular docking and finally analyzing their pharmacological properties to predict their bioavailability and toxicity (<xref ref-type="supplementary-material" rid="TS10">Supplementary Table 10</xref>). This culminated in the pinning of Eplerenone as the selected and predicted chemical compound from the EA and AC CEF of <italic>G. edulis</italic>. Importantly, Eplerenone is known as a potassium-sparing diuretic and has been used for patients with chronic heart diseases (CHD), but is more selective and thus, having fewer side effects, among the spironolactone class of steroidal antimineralocorticoids (<xref ref-type="bibr" rid="B63">Struthers et al., 2008</xref>; <xref ref-type="bibr" rid="B51">Pierson-Marchandise et al., 2017</xref>). As it is already in use in the market as a drug against CHD, it is imperative to have passed the clinical trials. Hence, it was not considered in this study to be further purified from the crude extracts and checked for cytotoxicity test (<xref ref-type="bibr" rid="B68">Tam et al., 2017</xref>). Thus, in essence, the proposal for the compound Eplerenone, for its antibacterial potential, reflects the concept of drug repurposing. It is important to note that, Eplerenone serves to be an alternative to antibiotics and is not proposed to be a new antibiotic <italic>per se</italic>.</p>
<p>To this end, our consideration of the proteins to be utilized for the aforementioned virtual screening also needs detailing in terms of their virulence potential. It is to be noted that virulence factors have gained traction over the years for considering the future plausible drug targets of MDR bacterial strains (<xref ref-type="bibr" rid="B47">Ogawara, 2021</xref>). Notably, without any imposition, on a bacterial population, for a highly selective pressure, anti-virulence drugs are better alternatives to antibiotics. Moreover, impaired virulence factors render the virulent pathogens to be pathobionts or avirulent bacteria. This might help the peaceful coexistence of the human population with these pathobionts. Thus, different representative virulent proteins from different bacteria were considered. These were a set of 12 different bacterial key proteins from <italic>S. enterica</italic> (PrgK and PrgH), <italic>K. pneumoniae</italic> (IucA and IucC), <italic>P. aeruginosa</italic> (WaaP and AlgE), methicillin-resistant <italic>S. aureus</italic> (CapE and EsxA), <italic>S. pyogenes</italic> (LepA and SmeZ-2) and <italic>B. subtilis</italic> (DhbE and CesB) (<xref ref-type="fig" rid="F1">Figure 1</xref>). These proteins were selected due to their available crystal structure in PDB for further docking studies during virtual screening. On the contrary, earlier homology modelled and validated DnaK structure was utilized for <italic>P. aeruginosa</italic> and <italic>S. aureus</italic>. Essentially, DnaK acts as a molecular chaperone, mediated by its ATPase activities (<xref ref-type="bibr" rid="B12">Chiappori et al., 2015</xref>), and has been reported to be central in mediating bacterial stress responses due to its mutants exhibiting an increase in antimicrobial susceptibilities and decrease in survivability in the host (<xref ref-type="bibr" rid="B72">Wolska et al., 2000</xref>; <xref ref-type="bibr" rid="B75">Yamaguchi et al., 2003</xref>; <xref ref-type="bibr" rid="B62">Singh et al., 2007</xref>). Again, a study on the whole-genome analysis (WGA) of protein interaction network (PIN) reported that DnaK protein was crucial in mediating quorum sensing in multidrug resistant <italic>Proteus mirabilis</italic> (<xref ref-type="bibr" rid="B49">Pawar et al., 2018</xref>). Furthermore, WGA analyses of PIN from MDR pathogens like <italic>P. aeruginosa</italic>, <italic>S. aureus</italic>, <italic>S. enterica</italic>, <italic>S. pneumoniae</italic>, <italic>P. mirabilis</italic>, <italic>Acinetobacter baumannii</italic>, <italic>Escherichia coli</italic>, and <italic>Mycobacterium tuberculosis</italic> revealed DnaK to be among the top 10 crucial proteins indispensable for the cellular integrity of the bacteria (<xref ref-type="bibr" rid="B45">Mujawar et al., 2020</xref>). Hence, DnaK protein has also been selected for the <italic>in silico</italic> study, herein, as a promising drug target for selected MDR bacteria.</p>
<p>The proteins PrgK and PrgH, of <italic>Salmonella</italic> species, form the inner rings of the structurally complex syringe-like inject some, at the base substructure, which mediates the transfer of virulent factors into the host cell during invasion (<xref ref-type="bibr" rid="B28">Hu et al., 2017</xref>). IucA and IucC proteins are crucial mediators in the aerobactin synthesis pathway in bacteria (<xref ref-type="bibr" rid="B46">Mydy et al., 2020</xref>) and have been recently proposed as antivirulence targets in <italic>K. pneumoniae</italic> (<xref ref-type="bibr" rid="B56">Russo and Gulick, 2019</xref>). WaaP is a lipopolysaccharide heptose kinase, essential for <italic>P. aeruginosa</italic> growth due to its indispensable role in bacterial outer membrane synthesis by aiding in lipid-A core biosynthesis (<xref ref-type="bibr" rid="B77">Zhao and Lam, 2002</xref>). Again, in <italic>Pseudomonas</italic> species, the AlgE protein is essential in the alginate biosynthesis pathway which eventually leads to biofilm formation in bacteria and eventually results in virulence (<xref ref-type="bibr" rid="B74">Xu et al., 2019</xref>). To this end, we have also considered DnaK for <italic>P. aeruginosa</italic>. This protein is a bacterial molecular chaperone of the Heat Shock Protein 70 kDa (HSP70) family which mediates bacterial survival under stress conditions, especially antibiotic administration (<xref ref-type="bibr" rid="B61">Singh et al., 2012</xref>). It has been proposed as an attractive druggable target as well as a vaccine candidate (<xref ref-type="bibr" rid="B20">Fourie and Wilson, 2020</xref>). Moreover, DnaK has also been identified to be important in quorum sensing, as well as cellular integrity in bacteria by other studies (<xref ref-type="bibr" rid="B49">Pawar et al., 2018</xref>; <xref ref-type="bibr" rid="B45">Mujawar et al., 2020</xref>).</p>
<p>DnaK has also been considered for <italic>S. aureus</italic>, besides the CapE protein. The latter is involved in the biosynthesis of capsular polysaccharide (<xref ref-type="bibr" rid="B42">Miyafusa et al., 2013</xref>) which constitutes the cell surface carbohydrate layer to confer immunological and physiological protective effects to the bacteria thereby preventing phagocytic events and aiding in bacterial survival in host bloodstream. Moreover, the EsxA protein of <italic>S. aureus</italic> has an important role in establishing infections in the host by acting as adaptor proteins aiding protein transport during pathogenesis (<xref ref-type="bibr" rid="B66">Sundaramoorthy et al., 2008</xref>) and has been reported as a druggable target as well as a vaccine candidate in coping with <italic>S. aureus</italic> infections (<xref ref-type="bibr" rid="B67">Sze and Kao, 2020</xref>). LepA, being ranked 3rd in the aspect of the highest level of conservation in bacteria, acts as an elongation factor during the gene translation events in <italic>S. pyogenes</italic> (<xref ref-type="bibr" rid="B19">Evans et al., 2008</xref>) and has been reported to be crucial in aiding bacterial growth in a stressed environment, both chemically and physically (<xref ref-type="bibr" rid="B25">Heller et al., 2017</xref>). SmeZ, or Streptococcal mitogenic endotoxin Z, is the most potent superantigens as per the discovery thus far (<xref ref-type="bibr" rid="B52">Popugailo et al., 2019</xref>). It inhibits the inflammatory reactions in the host, as well as inducing immunological complications by acting on the crucial molecules of the immune system such as MHC-II and T cell receptor, thereby inducing T cell hyperactivation and eventually unnecessary tissue damage (<xref ref-type="bibr" rid="B52">Popugailo et al., 2019</xref>). The DhbE protein is involved in bacterial biosynthesis of siderophore thereby enabling the survival of bacteria like <italic>Bacillus</italic> species in high iron concentration environment, especially the blood (<xref ref-type="bibr" rid="B40">May et al., 2001</xref>). Again, in <italic>Bacillus</italic> species, the <italic>cesB</italic> gene encodes the protein cereulide (CesB), a notorious bacterial toxin with high heat and acid tolerance which has been haunting the food industry by eventuating foodborne diseases outbreaks (<xref ref-type="bibr" rid="B15">Ducrest et al., 2019</xref>; <xref ref-type="bibr" rid="B55">Rouzeau-Szynalski et al., 2020</xref>).</p>
<p>Cultivation of seaweed in a laboratory is not an easy task. Moreover, large-scale algae cultivation and production are affected by several prominent factors, such as light intensity, temperature, pH, salinity, nutrients availability, and the presence of oxygen, carbon dioxide and inorganic carbon. However, in Malaysia, large-scale cultivation of seaweeds is conducted at the open sea of the eastern coast of Sabah, which is situated below the monsoon and typhoon belt. Nevertheless, seaweeds possess a vast diversity of secondary metabolites, which are potential novel sources of bioactive constituents with a broad spectrum of biological actions. Moreover, some metabolites derived from seaweeds have not been found in terrestrial plants.</p>
</sec>
<sec id="S5">
<title>Conclusion</title>
<p>The current study re-defines a method to reveal bioactive compounds from the crude extracts of Malaysian red seaweed <italic>G. edulis</italic>, having promising antibacterial activities against selected bacterial species. Three species of Gram-positive and -negative characters were remarkably inhibited by the sequential and direct extracts of ethyl acetate and acetone. These were further separated through chromatographic methods to reveal a plethora of chemical constituents to be considered for a downstream virtual screening against selected crucial proteins of the six bacteria. The additional pharmacological screening revealed Eplerenone with a potential to be repurposed as an alternate source for an antibacterial compound. While more studies are needed to establish such activity of Eplerenone, our metabolic profiling paves the way for future researchers to further explore such unseen potentials of the Malaysian natural product <italic>G. edulis</italic>.</p>
</sec>
<sec id="S6">
<title>Data Availability Statement</title>
<p>The data presented in the study are deposited in the Metabolomics Workbench repository, <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.21228/M8N11H">http://dx.doi.org/10.21228/M8N11H</ext-link>.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>CL conceived the concepts and planned and designed the analyses. AA extracted the natural product and assessed its antibacterial activity. AA analyzed the data for LC-MS and GC-MS with the help of CL. Y-YY provided the plant product and co-supervisory inputs. Y-CT and MS conducted the computational studies with occasional inputs from CL. AA and Y-CT generated the figures and tables with guidance provided and primarily wrote the manuscript aided by complete editorial upgradation by CL. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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>
</body>
<back>
<ack>
<p>The authors wish to acknowledge the Sunway University, Selangor, Malaysia for the provision of necessary computational facilities. The authors thank Syafiq Asnawi of the Monash University, Malaysia and K. C. Kong of Cytomics, Malaysia, for providing the results of LC-MS and GC-MS, respectively. The co-supervisory feedback of Ezzat Khan is also, hereby, acknowledged.</p>
</ack>
<sec id="S9" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2021.653562/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2021.653562/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_10.xlsx" id="TS10" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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