In silico screening of immunogenic epitopes among the vast amount of MHC-loaded peptides is a critical step toward effective precision immunotherapy. Although various sequence-based prediction models have been proposed, none of them has ever achieved meaningful accuracy and robustness. Here, we developped a framework that enables accurate classification of immunogenic epitopes and non-immunogenic MHC binders through simulating intermolecular contacts between MHC-presented peptides and TCR repertoire.
Package details |
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Author | Masato Ogishi |
Maintainer | Masato Ogishi <oogishi-tky@umin.ac.jp> |
License | MIT + file LICENSE |
Version | 3.1.7 |
Package repository | View on GitHub |
Installation |
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