TCRBuilder

TCRBuilder predicts multi-state T-cell receptor (TCR) structures from paired α and β sequences to generate ensembles of binding-site conformations for analysis of TCR conformational diversity and polyspecificity.


Key Features:

  • Multi-State Prediction: Generates ensembles of structural models representing multiple potential conformations of TCR binding sites.
  • Paired αβ sequence input: Accepts paired alpha (α) and beta (β) TCR sequences as input to build structural models.
  • Structural analysis of polyspecificity: Produces model ensembles that enable analysis of how binding-site conformational variability contributes to TCR polyspecificity and potential TCR–MHC interactions.

Scientific Applications:

  • Explore Structural Variability: Investigate how different binding-site conformations affect TCR binding affinity and specificity.
  • Enhance Predictive Models: Incorporate conformational diversity to improve predictions of TCR–MHC interactions.
  • Facilitate Drug Design: Inform immunotherapy and vaccine design by revealing structural dynamics relevant to targeting TCR-mediated immune pathways.

Methodology:

Generates ensembles of structural models from paired α and β TCR sequences that represent multiple binding-site conformations.

Topics

Details

Added:
1/18/2021
Last Updated:
2/26/2021

Operations

Publications

Wong WK, Marks C, Leem J, Lewis AP, Shi J, Deane CM. TCRBuilder: multi-state T-cell receptor structure prediction. Bioinformatics. 2020;36(11):3580-3581. doi:10.1093/bioinformatics/btaa194. PMID:32181809.

PMID: 32181809
Funding: - Engineering and Physical Sciences Research Council and Medical Research Council: EP/L016044/1