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TCR3d: The T cell receptor structural repertoire database.

Ragul Gowthaman1,2,3, Brian G Pierce1,2,3

  • 1University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, USA.

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|June 27, 2019
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Summary

The TCR3d database centralizes structural information for T cell receptors (TCRs) and their antigen recognition. This resource aids researchers in understanding TCR diversity and developing new immunotherapies.

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Area of Science:

  • Immunology
  • Structural Biology
  • Bioinformatics

Background:

  • T cell receptors (TCRs) are key to adaptive immunity, recognizing diverse antigens and forming a basis for novel therapeutics.
  • Understanding TCR-antigen interactions is challenging due to the vast TCR repertoire and sequence diversity.
  • Predictive modeling of TCR specificity is hindered by individual variations in TCR recognition.

Purpose of the Study:

  • To create a comprehensive database of T cell receptor (TCR) structures.
  • To focus on the structural and mechanistic basis of TCR-antigen recognition.
  • To provide a centralized resource for the research community studying TCRs.

Main Methods:

  • Compiled all known TCR structures, emphasizing antigen recognition complexes.
  • Integrated data on antigen binding modes, interface features, loop sequences, and germline gene usage.
  • Developed an interactive platform for viewing, searching, and downloading TCR structural data.

Main Results:

  • Established the TCR3d database, a curated collection of TCR structural information.
  • Included detailed data on TCR-antigen binding characteristics.
  • Ensured the database is updated weekly for current research needs.

Conclusions:

  • The TCR3d database offers a valuable resource for studying T cell receptor structure and function.
  • It facilitates research into TCR-antigen recognition mechanisms.
  • The database supports the development of TCR-based therapeutics by providing structural insights.