广告
药物发现
药理学
毒性
药品
药代动力学
药物开发
化学
计算生物学
计算机科学
医学
药效学
生物信息学
生物信息学
生物
作者
Gary W. Caldwell,Zhengyin Yan,Weimin Tang,Malini Dasgupta,Becki Hasting
标识
DOI:10.2174/156802609789630929
摘要
Integrating physicochemical, drug metabolism, pharmacokinetics, ADME, and toxicity assays into drug discovery in order to reduce the attrition rates in clinical development is reviewed. The review is organized around three main decision points used in discovery including hit generation, lead optimization and final candidate selection stages. The preclinical strategies used at each decision point are discussed from a drug discovery perspective. Typically, preclinical data produced at these stages use lower throughput assays, smaller amounts of compounds and operate within a timeframe that is consistent with the iterative cycle of most drug discovery research projects. Understanding the false positive rates of these drug discovery preclinical assays is a must in reducing attrition rates in development.
科研通智能强力驱动
Strongly Powered by AbleSci AI