LRMAHpan: a novel tool for multi-allelic HLA presentation prediction using Resnet-based and LSTM-based neural networks.

Journal: Frontiers in immunology
PMID: 39669561

Abstract

INTRODUCTION: The identification of peptides eluted from HLA complexes by mass spectrometry (MS) can provide critical data for deep learning models of antigen presentation prediction and promote neoantigen vaccine design. A major challenge remains in determining which HLA allele eluted peptides correspond to.

Authors

  • Xue Mi
    Ministry of Education Key Laboratory of Marine Genetics and Breeding, Ocean University of China, Qingdao, China.
  • Shaohao Li
    State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
  • Zheng Ye
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.
  • Zhu Dai
    State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
  • Bo Ding
    National Key Laboratory of Parallel and Distributed Processing, National University of Defense Technology, Changsha, People's Republic of China.
  • Bo Sun
    College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China. Electronic address: tosunbo@bnu.edu.cn.
  • Yang Shen
    Departments of Electrical and Computer Engineering & Computer Science and Engineering Texas A&M University, College Station, TX 77840.
  • Zhongdang Xiao
    State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China. Electronic address: zdxiao@seu.edu.cn.

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