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

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 assessment and...

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Detalles Bibliográficos
Autores principales: Wang, Ning-Ning, Wang, Xiang-Gui, Xiong, Guo-Li, Yang, Zi-Yi, Lu, Ai-Ping, Chen, Xiang, Liu, Shao, Hou, Ting-Jun, Cao, Dong-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013037/
https://www.ncbi.nlm.nih.gov/pubmed/35428354
http://dx.doi.org/10.1186/s13321-022-00602-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013037/
https://www.ncbi.nlm.nih.gov/pubmed/35428354
http://dx.doi.org/10.1186/s13321-022-00602-x

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