In sillico prediction of peptide immunogenicity is a critical component of precision immunotherapy. Although sequence-based prediction models have been extensively investigated, none of those tools achieved meaningful accuracy. Here, we developped a framework, termed 'repertoire-wide TCR-peptide contact profile', that enables accurate distinction between epitopes (immunogenic MHC-loaded peptides) and MHC ligands (non-immunogenic MHC-loaded peptides).
|Maintainer||Masato Ogishi <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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