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