Communications Biology (Oct 2021)

Connecting MHC-I-binding motifs with HLA alleles via deep learning

  • Ko-Han Lee,
  • Yu-Chuan Chang,
  • Ting-Fu Chen,
  • Hsueh-Fen Juan,
  • Huai-Kuang Tsai,
  • Chien-Yu Chen

DOI
https://doi.org/10.1038/s42003-021-02716-8
Journal volume & issue
Vol. 4, no. 1
pp. 1 – 12

Abstract

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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.