Machine learning to predict metabolic drug interactions related to cytochrome P450 isozymes

Machine learning to predict metabolic drug interactions related to cytochrome P450 isozymes

Abstract Drug–drug interaction (DDI) often causes serious adverse reactions and thus results in inestimable economic and social loss. Currently, comprehensive DDI evaluation has become a major challenge in pharmaceutical research due to the time-consuming and costly process of the experimental asses...

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Bibliographic Details
Main Authors: Ning-Ning Wang, Xiang-Gui Wang, Guo-Li Xiong, Zi-Yi Yang, Ai-Ping Lu, Xiang Chen, Shao Liu, Ting-Jun Hou, Dong-Sheng Cao
Format: Article
Language:English
Published: BMC 2022-04-01
Series:Journal of Cheminformatics
Subjects:
Metabolic drug interaction
CYP450
Machine learning
Drug combination
Adverse drug reactions
Online Access:https://doi.org/10.1186/s13321-022-00602-x

Internet

https://doi.org/10.1186/s13321-022-00602-x

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