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Machine Learning Methods for Predicting HLA-Peptide Binding Activity

1 Jan 2015

Abstract excerpt

As major histocompatibility complexes in humans, the human leukocyte antigens (HLAs) have important functions to present antigen peptides onto T-cell receptors for immunological recognition and responses. Interpreting and predicting HLA-peptide binding are important to study T-cell epitopes, immune reactions, and the mechanisms of adverse drug reactions. We review different types of machine learning methods and...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 26512199
DOI: 10.4137/bbi.s29466

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