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Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes

8 Nov 2018

Abstract excerpt

A number of machine learning-based predictors have been developed for identifying immunogenic T-cell epitopes based on major histocompatibility complex (MHC) class I and II binding affinities. Rationally selecting the most appropriate tool has been complicated by the evolving training data and machine learning methods. Despite the recent advances made in generating high-quality MHC-eluted, naturally processed...

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PMID: 30408041
DOI: 10.1371/journal.pcbi.1006457

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