Drug repositioning based on tripartite cross-network embedding and graph convolutional network-Reference-Cited by-同舟云学术

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Drug repositioning based on tripartite cross-network embedding and graph convolutional network

Published:2024-10 Issue: Volume:252 Page:124152
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zeng Pan^ORCID,Zhang Bofei,Liu Aohang,Meng Yajie^ORCID,Tang Xianfang^ORCID,Yang Jialiang^ORCID,Xu Junlin^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. Drug repositioning: identifying and developing new uses for existing drugs;Ashburn;Nature Reviews Drug Discovery,2004

2. Matrix factorization-based technique for drug repurposing predictions;Ceddia;IEEE Journal of Biomedical and Health Informatics,2020

3. Idrug: Integration of drug repositioning and drug-target prediction via cross-network embedding;Chen;PLoS Computational Biology,2020

4. Hierarchical graph representation learning for the prediction of drug-target binding affinity;Chu;Information Sciences,2022

5. UniProt: a worldwide hub of protein knowledge;Consortium;Nucleic Acids Research,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism;Journal of Chemical Information and Modeling;2024-08-13

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