Systematic analysis of CDR contacts and pairing constraints between T cell receptor αβ chains

Clicks: 7
ID: 321992
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #149 of 818 articles by views in BMC Bioinformatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 818 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Motivation The six complementarity determining regions (CDRs) of the T cell receptor (TCR) form multiple contacts with cognate peptide and major histocompatibility complex, thus determining antigen specificity. However, the contacts between the CDRs themselves are less understood. Results Our systematic study of all available TCR crystallographic structures identified consistent patterns of intra- and inter-chain CDR contacts in both free and antigen-bound TCRs. In addition, the protein sequences of TCRα and TCRβ from sets of TCRs which recognise a shared antigen shared mutual information and were not independent. As a result, sequence-based models can partially predict TCRα/TCRβ pairing de novo. The conserved patterns of CDR amino acid contacts, and the mutual sequence constraints between antigen-specific sets of TCR α and β chains represent an under-appreciated element of TCR structure, which may play an important role in T cell antigen recognition. Availability and Implementation The code and data necessary to reproduce the analyses are available at https://github.com/mm523/TCRab-pairing. Supplementary Information Supplementary data are available at Bioinformatics online.
Reference Key
openalex_W7170031560 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Martina Milighetti, Yuta Nagano, James Henderson, Uri Hershberg, Andreas Tiffeau-Mayer, Anne‐Florence Bitbol, Chain Benny
Journal BMC Bioinformatics
Year 2026
DOI
10.1093/bioinformatics/btag551
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.