PermuteDDS: a permutable feature fusion network for drug-drug synergy prediction

PermuteDDS: a permutable feature fusion network for drug-drug synergy prediction

Abstract Motivation Drug combination therapies have shown promise in clinical cancer treatments. However, it is hard to experimentally identify all drug combinations for synergistic interaction even with high-throughput screening due to the vast space of potential combinations. Although a number of...

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Bibliographic Details
Main Authors: Xinwei Zhao, Junqing Xu, Youyuan Shui, Mengdie Xu, Jie Hu, Xiaoyan Liu, Kai Che, Junjie Wang, Yun Liu
Format: Article
Language:English
Published: BMC 2024-04-01
Series:Journal of Cheminformatics
Subjects:
Drug combination
Permutable feature fusion
Synergistic effect
Cancer
Online Access:https://doi.org/10.1186/s13321-024-00839-8

Internet

https://doi.org/10.1186/s13321-024-00839-8

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