DSN-DDI: an accurate and generalized framework for drug–drug interaction prediction by dual-view representation learning

• Published in: Briefings in bioinformatics Vol. 24; no. 1
• Main Authors: Li, Zimeng, Zhu, Shichao, Shao, Bin, Zeng, Xiangxiang, Wang, Tong, Liu, Tie-Yan
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 19.01.2023; Oxford Publishing Limited (England)
• Subjects: Accuracy; Computational Biology; Drug development; Drug Discovery; Drug interaction; Drug Interactions; Drug-Related Side Effects and Adverse Reactions; Drugs; Humans; Incompatibility; Learning; Predictions; Representations; Side effects; dual-view learning; drug–drug interaction; molecular graph; drug side effect

Abstract Drug–drug interaction (DDI) prediction identifies interactions of drug combinations in which the adverse side effects caused by the physicochemical incompatibility have attracted much attention. Previous studies usually model drug information from single or dual views of the whole drug mole...