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.
Netmhc-3.0: accurate web accessible predictions of human, mouse and monkey mhc class i affinities for peptides of length 8–11.Nucleic acids research, 36(suppl_2):W509–W512, 2008
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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.