Motivation: T-cell receptors (TCRs) are immune proteins that primarily target peptide antigens presented by the major histocompatibility complex. They tend to have lower specificity and affinity than their antibody counterparts, and their binding sites have been shown to adopt multiple conformations, which is potentially an important factor for their polyspecificity. None of the current TCR-modelling tools predict this variability which limits our ability to accurately predict TCR binding.

Results: We present TCRBuilder, a multi-state TCR structure prediction tool. Given a paired αβTCR sequence, TCRBuilder returns a model or an ensemble of models covering the potential conformations of the binding site. This enables the analysis of structurally driven polyspecificity in TCRs, which is not possible with existing tools.

Availability And Implementation: http://opig.stats.ox.ac.uk/resources.

Contact: deane@stats.ox.ac.uk.

Supplementary Information: Supplementary data are available at Bioinformatics online.

Download full-text PDF

Source
http://dx.doi.org/10.1093/bioinformatics/btaa194DOI Listing

Publication Analysis

Top Keywords

tcrbuilder multi-state
8
structure prediction
8
multi-state t-cell
4
t-cell receptor
4
receptor structure
4
prediction motivation
4
motivation t-cell
4
t-cell receptors
4
receptors tcrs
4
tcrs immune
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!