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Article

EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning.

Bioinformatics (Oxford, England) - 4 Mar 2025

Jeon Jaemin, Yu Suwan, Lee Sangam, Kim Sang Cheol, Jo Hye-Yeong, Jung Inuk, Kim Kwangsoo

Abstract excerpt

MOTIVATION: Correctly identifying epitope-binding T-cell receptors (TCRs) is important to both understand their underlying biological mechanism in association to some phenotype and accordingly develop T-cell mediated immunotherapy treatments. Although the importance of the CDR3 region in TCRs for epitope recognition is well recognized, methods for profiling their interactions in association to a certain disease...

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PMID: 39982404
DOI: 10.1093/bioinformatics/btaf080
PMCID: PMC11879650

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