Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion

Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion

Potential drug-drug interactions (DDI) can lead to adverse drug reactions (ADR), and DDI prediction can help pharmacy researchers detect harmful DDI early. However, existing DDI prediction methods fall short in fully capturing drug information. They typically employ a single-view input, focusing sol...

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Bibliographic Details
Main Authors: Dawei Pan, Ping Lu, Yunbing Wu, Liping Kang, Fengxin Huang, Kaibiao Lin, Fan Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Pharmacology
Subjects:
drug drug interaction prediction
graph neural network
multi-scale fusion
graph features represent learning
multi-class classification
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2024.1354540/full

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