广告
生物信息学
计算机科学
计算生物学
风险分析(工程)
药理学
生物
医学
药品
遗传学
基因
作者
Sean Ekins,Thomas R. Lane,Fabio Urbina,Ana C. Puhl
出处
期刊:Xenobiotica
[Taylor & Francis]
日期:2023-08-04
卷期号:54 (7): 352-358
被引量:7
标识
DOI:10.1080/00498254.2023.2245049
摘要
In the early 2000s pharmaceutical drug discovery was beginning to use computational approaches for absorption, distribution, metabolism, excretion and toxicity (ADME/Tox, also known as ADMET) prediction. This emphasis on prediction was an effort to reduce the risk of later stage failures from ADME/Tox.Much has been written in the intervening twenty plus years and significant expenditure has occurred in companies developing these
科研通智能强力驱动
Strongly Powered by AbleSci AI