TCR3d 2.0: expanding the T cell receptor structure database with new structures, tools and interactions

Recognition of antigens by T cell receptors (TCRs) is a key component of adaptive immunity. Understanding the structures of these TCR interactions provides major insights into immune protection and diseases, and enables design of therapeutics, vaccines and predictive modeling algorithms. Previously, we released TCR3d, a database and resource for structures of TCRs and their recognition. Due to the growth of available structures and categories of complexes, the content of TCR3d has expanded substantially in the past 5 years. This expansion includes new tables dedicated to TCR mimic antibody complex structures, TCR-CD3 complexes and annotated Class I and II peptide-MHC complexes. Additionally, tools are available for users to calculate docking geometries for input TCR and TCR mimic complex structures. The core tables of TCR-peptide-MHC complexes have grown by 50%, and include binding affinity data for experimentally determined structures. These major content and feature updates enhance TCR3d as a resource for immunology, therapeutics and structural biology research, and enable advanced approaches for predictive TCR modeling and design. TCR3d is available at: https://tcr3d.ibbr.umd.edu.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-09-26
DOI
https://doi.org/10.1093/nar/gkae840
Citations
18
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
4.21

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article

TCR3d 2.0: expanding the T cell receptor structure database with new structures, tools and interactions

Melyssa Cheung, Brian G. Pierce, Valerie C. L. Lin, Brian M. Baker et al.
18 citations
Nucleic Acids Research
vaccines and immunoinformatics approaches
4.21
article

TCR3d 2.0: expanding the T cell receptor structure database with new structures, tools and interactions

Melyssa Cheung, Brian G. Pierce, Valerie C. L. Lin, Brian M. Baker, Ragul Gowthaman, M A Eisenberg
article en
18 citations

Abstract

Recognition of antigens by T cell receptors (TCRs) is a key component of adaptive immunity. Understanding the structures of these TCR interactions provides major insights into immune protection and diseases, and enables design of therapeutics, vaccines and predictive modeling algorithms. Previously, we released TCR3d, a database and resource for structures of TCRs and their recognition. Due to the growth of available structures and categories of complexes, the content of TCR3d has expanded substantially in the past 5 years. This expansion includes new tables dedicated to TCR mimic antibody complex structures, TCR-CD3 complexes and annotated Class I and II peptide-MHC complexes. Additionally, tools are available for users to calculate docking geometries for input TCR and TCR mimic complex structures. The core tables of TCR-peptide-MHC complexes have grown by 50%, and include binding affinity data for experimentally determined structures. These major content and feature updates enhance TCR3d as a resource for immunology, therapeutics and structural biology research, and enable advanced approaches for predictive TCR modeling and design. TCR3d is available at: https://tcr3d.ibbr.umd.edu.

Nucleic Acids ResearchVol. 53(D1)
University of Notre Dame (US), University of Maryland, Baltimore (US), Advanced Bioscience Laboratories (United States) (US), Institute for Bioscience and Biotechnology Research, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland, College Park (US)
National Institutes of Health
Openalex Percentile: Top 5%
vaccines and immunoinformatics approaches
4.21
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