Prediction of MHC Class I Binding Peptides Using an Ensemble Learning Approach

Abstract: IntroductionTo be able to predict the binding a#nity of peptides to major histocompatibility complex (MHC)molecules is an important issue in the field of immunology. A standard inductive learning algorithmcalled C4.5 [3] which generates a classifier in the form of a decision tree is used to predict the bindingpropensity of peptides to a MHC class I molecule. Only the primary structure of the peptides is takeninto account in our approach. Two types of attributes are considered for the...