Accurate prediction of drug-protein interactions by maintaining the original topological relationships among embeddings

Accurate prediction of drug-protein interactions by maintaining the original topological relationships among embeddings

Abstract Background Learning-based methods have recently demonstrated strong potential in predicting drug-protein interactions (DPIs). However, existing approaches often fail to achieve accurate predictions on real-world imbalanced datasets while maintaining high generalizability and scalability, li...

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Bibliographic Details
Main Authors: Yanfei Li, Xiran Chen, Shuqin Wang, Jinmao Wei
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Biology
Subjects:
Drug-protein interaction
Topological relationships
Deep neural network
Guilt-by-association
Prior loss function
Online Access:https://doi.org/10.1186/s12915-025-02338-0
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https://doi.org/10.1186/s12915-025-02338-0

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