TCR-SRIM uses structure regularization and contact prototypes for interpretable TCR-epitope binding prediction, reports SOTA performance on TCR-XAI, and finds generated structures produce less accurate interaction patterns than experimental ones.
Deep learning predictions of tcr-epitope interactions reveal epitope-specific chains in dual alpha t cells.Nature Communications, 15(1):3211, 2024
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Structure-Regularized Interpretable TCR-Epitope Prediction
TCR-SRIM uses structure regularization and contact prototypes for interpretable TCR-epitope binding prediction, reports SOTA performance on TCR-XAI, and finds generated structures produce less accurate interaction patterns than experimental ones.