DEEP LEARNING-BASED METHOD FOR PREDICTING BINDING AFFINITY BETWEEN HUMAN LEUKOCYTE ANTIGENS AND PEPTIDES

摘要

A deep learning-based method for predicting a binding affinity between human leukocyte antigens (HLAs) and peptides includes: step S101: encoding HLA sequences; step S102: constructing a sequence of an HLA-peptide pair; step S103: constructing an encoding matrix of the HLA-peptide pair; step S104: constructing an affinity prediction model for HLA-peptide binding. The new method considers the effects of the protein sequences of HLAs and the sequences of the peptides on affinity strength and develops a deep learning-based method for predicting a binding affinity between HLAs and peptides.