CORRECTION article

Front. Physiol., 24 January 2022

Sec. Computational Physiology and Medicine

Volume 12 - 2021 | https://doi.org/10.3389/fphys.2021.790998

Corrigendum: Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

  • 1. Division of Infection and Immunity, University College London, London, United Kingdom

  • 2. Cancer Institute, University College London, London, United Kingdom

  • 3. Department of Computer Science, University College London, London, United Kingdom

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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.

Publisher's Note

All claims expressed in this article are solely those of the authors 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.

References

  • 1

    10XGenomics (2020). A New Way of Exploring Immunity - Linking Highly Multiplexed Antigen Recognition to Immune Repertoire and Phenotype. 10XGenomics.

  • 2

    BagaevD. V.VroomansR. M. A.SamirJ.StervboU.RiusC.DoltonG.et al. (2020). VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium. Nucleic Acids Res.48, D1057D1062. 10.1093/nar/gkz874

  • 3

    DashP.Fiore-GartlandA. J.HertzT.WangG. C.SharmaS.SouquetteA.et al. (2017). Quantifiable predictive features define epitope-specific T cell receptor repertoires. Nature547, 8993. 10.1038/nature22383

Summary

Keywords

T cell receptor, antigen prediction, TCR-pMHC binding, homology modelling, T cell

Citation

Milighetti M, Shawe-Taylor J and Chain B (2022) Corrigendum: Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes. Front. Physiol. 12:790998. doi: 10.3389/fphys.2021.790998

Received

07 October 2021

Accepted

27 October 2021

Published

24 January 2022

Volume

12 - 2021

Edited and reviewed by

Tetsuya J. Kobayashi, The University of Tokyo, Japan

Updates

Copyright

*Correspondence: Benny Chain

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

Disclaimer

All claims expressed in this article are solely those of the authors 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.

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