TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides-Reference-Cited by-同舟云学术

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TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides

Published:2024-06-26 Issue:13 Volume:64 Page:5016-5027
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Hong Nanqi¹²,Jiang Dejun²^ORCID,Wang Zhe²,Sun Huiyong³^ORCID,Luo Hao²,Bao Lingjie²,Song Mingli¹,Kang Yu²^ORCID,Hou Tingjun²^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang 310027, China

2. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang 310058, China

3. Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing, Jiangsu 210009, China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Postdoctoral Fellowship Program of CPSF

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c00678

Reference52 articles.

1. Immunoproteasome-Selective Inhibitors: A Promising Strategy to Treat Hematologic Malignancies, Autoimmune and Inflammatory Diseases

2. A Review on the Methods of Peptide-MHC Binding Prediction

3. Human MHC class III and IV genes and disease associations

4. Towards a systems understanding of MHC class I and MHC class II antigen presentation

5. Quantitating Protein Synthesis, Degradation, and Endogenous Antigen Processing

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