DapPep, built from ESM-2 with cross-attention and peptide-reconstruction pre-training, reports ROC-AUC 0.816 and PR-AUC 0.836 on unseen peptides, beating PanPep by about 9 to 11 percent.
Pan- peptide meta learning for t-cell receptor–antigen binding recognition
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DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction
DapPep, built from ESM-2 with cross-attention and peptide-reconstruction pre-training, reports ROC-AUC 0.816 and PR-AUC 0.836 on unseen peptides, beating PanPep by about 9 to 11 percent.