A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure-Reference-Cited by-同舟云学术

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A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure

Published:2024-07 Issue:7 Volume:28 Page:4295-4305
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Zhang Zitong¹^ORCID,Zhao Lingling¹,Wang Junjie²^ORCID,Wang Chunyu¹^ORCID

Affiliation:

1. Faculty of Computing, Harbin Institute of Technology, Harbin, China

2. Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10582272/10488691.pdf?arnumber=10488691

Reference45 articles.

1. Protein interaction networks in medicine and disease

2. Recent advances in the development of protein–protein interactions modulators: mechanisms and clinical trials

3. From basic apoptosis discoveries to advanced selective BCL-2 family inhibitors

4. Structure–activity relationship (SAR) of the α-amino acid residue of potent tetrahydroisoquinoline (THIQ)-derived LFA-1/ICAM-1 antagonists

5. Stabilization of protein–protein interaction complexes through small molecules

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