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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
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 |
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