Deep graph contrastive learning model for drug-drug interaction prediction

Deep graph contrastive learning model for drug-drug interaction prediction

Drug-drug interaction (DDI) is the combined effects of multiple drugs taken together, which can either enhance or reduce each other's efficacy. Thus, drug interaction analysis plays an important role in improving treatment effectiveness and patient safety. It has become a new challenge to use c...

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Bibliographic Details
Main Authors: Jiang, Zhenyu, Gong, Zhi, Dai, Xiaopeng, Zhang, Hongyan, Ding, Pingjian, Shen, Cong
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Deep learning
Drug interaction
Online Access:https://hdl.handle.net/10356/179646

Internet

https://hdl.handle.net/10356/179646

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