MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning

MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning

Abstract The joint use of multiple drugs may cause unintended drug-drug interactions (DDIs) and result in adverse consequence to the patients. Accurate identification of DDI types can not only provide hints to avoid these accidental events, but also elaborate the underlying mechanisms by how DDIs oc...

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Bibliographic Details
Main Authors: Shenggeng Lin, Weizhi Chen, Gengwang Chen, Songchi Zhou, Dong-Qing Wei, Yi Xiong
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Journal of Cheminformatics
Subjects:
Drug-drug interaction
Multi-type classification
Supervised contrastive learning
Multi-scale feature fusion
Self-attention mechanism
Online Access:https://doi.org/10.1186/s13321-022-00659-8

Internet

https://doi.org/10.1186/s13321-022-00659-8

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