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Article

Combining Three-Dimensional Modeling with Artificial Intelligence to Increase Specificity and Precision in Peptide–MHC Binding Predictions

2 Sept 2020

Abstract excerpt

Abstract The reliable prediction of the affinity of candidate peptides for the MHC is important for predicting their potential antigenicity and thus influences medical applications, such as decisions on their inclusion in T cell–based vaccines. In this study, we present a rapid, predictive computational approach that combines a popular, sequence-based artificial neural network method, NetMHCpan 4.0, with...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 32878910
DOI: 10.4049/jimmunol.1900918

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