Communications Biology (Oct 2021)
Connecting MHC-I-binding motifs with HLA alleles via deep learning
Abstract
Ko-Han Lee et al. develop MHCfovea, a machine-learning method for predicting peptide-binding by MHC molecules and inferring peptide motifs and MHC allele signatures. They demonstrate that MHCfovea is capable of detecting meaningful hyper-motifs and allele signatures, making it a useful resource for the community.