A novel deep sequential learning architecture for drug drug interaction prediction using DDINet

A novel deep sequential learning architecture for drug drug interaction prediction using DDINet

Abstract Drug drug Interactions (DDI) present considerable challenges in healthcare, often resulting in adverse effects or decreased therapeutic efficacy. This article proposes a novel deep sequential learning architecture called DDINet to predict and classify DDIs between pairs of drugs based on di...

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Bibliographic Details
Main Authors: Anindya Halder, Biswanath Saha, Moumita Roy, Sukanta Majumder
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Drug drug interaction
Deep learning
Attention mechanism
Recurrent neural network
Gated recurrent unit
Online Access:https://doi.org/10.1038/s41598-025-93952-z
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