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Antigen-receptor Design Against Peptide-MHC Targets — a structure-based deep learning pipeline that designs T cell receptors (TCRs) and antibodies that bind to specified peptide-MHC (pMHC) complexes by combining a fine-tuned AlphaFold2 docking protocol, ProteinMPNN sequence redesign, and (optionally) RFantibody-based design ranking.