机制(生物学)
公制(单位)
临床药理学
药品
医学
药理学
风险分析(工程)
系统药理学
药品审批
计算机科学
计算生物学
生物
业务
认识论
哲学
营销
作者
Xuan Zhou,Ole Graff,Chao Chen
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2020-10-12
卷期号:15 (10): e0240234-e0240234
被引量:5
标识
DOI:10.1371/journal.pone.0240234
摘要
The Probability of Pharmacology Success, or PoPS, is a powerful metric to inform progression decisions by quantifying a compound's overall pharmacological strength based on its mechanism. It is defined as the probability that X level of pharmacology is achieved in Y proportion of patients at a safe dose. The importance of adequate drug exposure, target engagement and functional pharmacology for enabling a compound's efficacy is widely recognized. The PoPS estimates how well these conditions are met by integrating the compound's pharmacological properties and the target's modulation needs for the intended indication, in a pharmacometric model that includes the knowledge uncertainty. We use examples to illustrate how it can be used to compare drug candidates under specified benefit and risk conditions, support first-in-human decisions based on exposure limits, advise preclinical lead optimisation, and define clinical-trial populations.
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