Deep learning pan‐specific model for interpretable MHC‐I peptide binding prediction with improved attention mechanism-Reference-Cited by-同舟云学术

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Deep learning pan‐specific model for interpretable MHC‐I peptide binding prediction with improved attention mechanism

Published:2021-03-18 Issue:7 Volume:89 Page:866-883
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Bioinformatics
language:en
Short-container-title:Proteins

Author:

Jin Jing¹,Liu Zhonghao¹,Nasiri Alireza¹,Cui Yuxin¹,Louis Stephen‐Yves¹,Zhang Ansi¹,Zhao Yong¹,Hu Jianjun¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering University of South Carolina Columbia South Carolina USA

Funder

National Institutes of Health

NSF

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prot.26065

Reference34 articles.

1. IMMUNODOMINANCE IN MAJOR HISTOCOMPATIBILITY COMPLEX CLASS I–RESTRICTED T LYMPHOCYTE RESPONSES

2. Structure of HLA-A*0301 in complex with a peptide of proteolipid protein: insights into the role of HLA-A alleles in susceptibility to multiple sclerosis

3. Automated benchmarking of peptide-MHC class I binding predictions

4. NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets

5. NetMHCcons: a consensus method for the major histocompatibility complex class I predictions

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5. TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning;Briefings in Bioinformatics;2024-03-27

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