cover of episode Large-scale template-based structural modeling of T-cell receptors with known antigen specificity reveals complementarity features.

Large-scale template-based structural modeling of T-cell receptors with known antigen specificity reveals complementarity features.

2023/4/1
logo of podcast PaperPlayer biorxiv bioinformatics

PaperPlayer biorxiv bioinformatics

Frequently requested episodes will be transcribed first

Shownotes Transcript

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.03.29.533758v1?rss=1

Authors: Shcherbinin, D. S., Karnaukhov, V. K., Zvyagin, I. V., Chudakov, D. M., Shugay, M.

Abstract: T-cell receptor (TCR) recognition of foreign peptides presented by the major histocompatibility complex (MHC) initiates the adaptive immune response against pathogens. A large number of TCR sequences specific to different antigens are known to date, however, the structural data describing the conformation and contacting residues for TCR:antigen:MHC complexes is relatively limited. In the present study we aim to extend and analyze the set of available structures by performing highly accurate template-based modeling of TCR:antigen:MHC complexes using TCR sequences with known specificity. Using the set of 29 complex templates and 732 specificity records, we built a database of 1517 model structures. This database allowed us to analyze features of amino acid contacts in TCR:antigen interfaces that govern antigen recognition preferences and interpret these interactions in terms of physicochemical properties of interacting residues. Our results provide a methodology for building high-quality TCR:antigen:MHC models for certain antigens that can be utilized to assay TCR specificity.

Copy rights belong to original authors. Visit the link for more info

Podcast created by Paper Player, LLC