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The Role of Mass Spectrometry and Proteogenomics in the Advancement of HLA Epitope Prediction
2018
Proteomics
A challenge in developing personalized cancer immunotherapies is the prediction of putative cancer-specific antigens. Currently, predictive algorithms are used to infer binding of peptides to human leukocyte antigen (HLA) heterodimers to aid in the selection of putative epitope targets. One drawback of current epitope prediction algorithms is that they are trained on datasets containing biochemical HLA-peptide binding data that may not completely capture the rules associated with endogenous
doi:10.1002/pmic.201700259
pmid:29314742
pmcid:PMC6033110
fatcat:didsinuuqrf2bojth7wvhbrtce