药品
肝损伤
运输机
药物开发
药理学
不良结局途径
医学
重症监护医学
生物信息学
生物
计算生物学
遗传学
基因
作者
AyoOluwa O. Olubamiwa,Jingyi Ma,Patrice Dehanne,Catherine Noban,Yeliz Angın,Olivier Barberan,Minjun Chen
标识
DOI:10.1080/17425255.2025.2514537
摘要
As new approach methods (NAMs) for assessing and predicting drug toxicity gain more prominence, it is imperative to better understand the adverse outcome pathways (AOPs) that underpin these methods. DMETs largely play a pivotal role in the molecular initiating events of DILI-related AOPs. Further research is needed to characterize DILI-related AOP networks and enhance the predictive performance of NAMs for assessing DILI risk.
科研通智能强力驱动
Strongly Powered by AbleSci AI