生物信息学
药品
计算生物学
药物开发
药理学
药物反应
医学
生化工程
生物信息学
计算机科学
风险分析(工程)
化学
生物
生物化学
工程类
基因
作者
Shuai Wang,Upendra A. Argikar,Maria Chatzopoulou,Sungjoon Cho,Rachel D. Crouch,Deepika Dhaware,Ting‐Jia Gu,Carley J. S. Heck,Kevin M. Johnson,Amit S. Kalgutkar,Joyce Liu,Bin Ma,Grover P. Miller,Jessica A. Rowley,Herana Kamal Seneviratne,Donglu Zhang,S. Cyrus Khojasteh
标识
DOI:10.1080/03602532.2024.2376023
摘要
Advances in the field of bioactivation have significantly contributed to our understanding and prediction of drug-induced liver injury (DILI). It has been established that many adverse drug reactions, including DILI, are associated with the formation and reactivity of metabolites. Modern methods allow us to detect and characterize these reactive metabolites in earlier stages of drug development, which helps anticipate and circumvent the potential for DILI. Improved
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