TCR3d: The T cell receptor structural repertoire database.

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TitleTCR3d: The T cell receptor structural repertoire database.
Publication TypeJournal Article
Year of Publication2019
AuthorsGowthaman, R, Pierce, BG
JournalBioinformatics
Date Published2019 Jun 26
ISSN1367-4811
Abstract

SUMMARY: T cell receptors (TCRs) are critical molecules of the adaptive immune system, capable of recognizing diverse antigens, including peptides, lipids, and small molecules, and represent a rapidly growing class of therapeutics. Determining the structural and mechanistic basis of TCR targeting of antigens is a major challenge, as each individual has a vast and diverse repertoire of TCRs. Despite shared general recognition modes, diversity in TCR sequence and recognition represents a challenge to predictive modeling and computational techniques being developed to predict antigen specificity and mechanistic basis of TCR targeting. To this end, we have developed the TCR3d database, a resource containing all known TCR structures, with a particular focus on antigen recognition. TCR3d provides key information on antigen binding mode, interface features, loop sequences and germline gene usage. Users can interactively view TCR complex structures, search sequences of interest against known structures and sequences, and download curated datasets of structurally characterized TCR complexes. This database is updated on a weekly basis, and can serve the community as a centralized resource for those studying T cell receptors and their recognition.

AVAILABILITY: The TCR3d database is available at https://tcr3d.ibbr.umd.edu/.

DOI10.1093/bioinformatics/btz517
Alternate JournalBioinformatics
PubMed ID31240309