Molecular Substructure-Aware Network With Reinforcement Pooling and Deep Attention Mechanism for Drug-Drug Interaction Prediction

Molecular Substructure-Aware Network With Reinforcement Pooling and Deep Attention Mechanism for Drug-Drug Interaction Prediction

Predicting potential drug-drug interactions (DDIs) can effectively mitigate unforeseen interactions throughout the entire drug development process, playing a pivotal role in ensuring drug safety. However, traditional methods are laborious and require specific expert knowledge. This paper proposes RP...

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Bibliographic Details
Main Authors: Ke Zhao, Hailiang Tang, Hailin Zhu, Wenxiao Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Drug-drug interactions
reinforcement learning
deep attention neural networks
learning latent representations
graph algorithms
Online Access:https://ieeexplore.ieee.org/document/10456905/

Internet

https://ieeexplore.ieee.org/document/10456905/

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