Large-Scale Structure-Based Prediction of Stable Peptide Binding to Class I HLAs Using Random Forests
Prediction of stable peptide binding to Class I HLAs is an important component for designing immunotherapies.While the best performing predictors are based on machine learning algorithms trained on peptide-HLA (pHLA) sequences, the use of structure for training predictors deserves further exploration.Given enough pHLA structures, a predictor based