Front. Physiol. Frontiers in Physiology Front. Physiol. 1664-042X Frontiers Media S.A. 10.3389/fphys.2021.790998 Physiology Correction Corrigendum: Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes Milighetti Martina 1 2 Shawe-Taylor John 3 Chain Benny 1 3 * 1Division of Infection and Immunity, University College London, London, United Kingdom 2Cancer Institute, University College London, London, United Kingdom 3Department of Computer Science, University College London, London, United Kingdom

Edited and reviewed by: Tetsuya J. Kobayashi, The University of Tokyo, Japan

 *Correspondence: Benny Chain b.chain@ucl.ac.uk

This article was submitted to Computational Physiology and Medicine, a section of the journal Frontiers in Physiology

 24 01 2022 2021 12 790998 07 10 2021 27 10 2021 Copyright © 2022 Milighetti, Shawe-Taylor and Chain. 2022 Milighetti, Shawe-Taylor and Chain

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 A Corrigendum on Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes by Milighetti, M., Shawe-Taylor, J., and Chain, B. (2021). Front. Physiol. 12:730908. doi: 10.3389/fphys.2021.730908 T cell receptor antigen prediction TCR-pMHC binding homology modelling T cell

In the original article, there was a mistake in the provided supplementary material for the datasets Dash (Dash et al., 2017), 10X (10XGenomics, 2020), and newVdj (Bagaev et al., 2020) as published. The mistake derived from an imprecision in the method used to reconstruct the complete amino sequence for the TCRs from the V/J gene and CDR3 information, which impacted a small proportion of the sequences in these sets (between 0.5 and 7% depending on the set). The wrong sequences have now been either removed or corrected. The corrected version of these datasets is provided as supplementary material.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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 References 10XGenomics (2020). A New Way of Exploring Immunity - Linking Highly Multiplexed Antigen Recognition to Immune Repertoire and Phenotype. 10XGenomics. Bagaev D. V. Vroomans R. M. A. Samir J. Stervbo U. Rius C. Dolton G. . (2020). VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium. Nucleic Acids Res. 48, D1057–D1062. 10.1093/nar/gkz87431588507 Dash P. Fiore-Gartland A. J. Hertz T. Wang G. C. Sharma S. Souquette A. . (2017). Quantifiable predictive features define epitope-specific T cell receptor repertoires. Nature 547, 89–93. 10.1038/nature2238328636592