背景(考古学)
药物发现
药品
计算机科学
医学
药理学
医学物理学
生物信息学
生物
古生物学
作者
Dermot F. McGinnity,Ken Grime,Peter J. H. Webborn
出处
期刊:Royal Society of Chemistry eBooks
[The Royal Society of Chemistry]
日期:2015-01-01
卷期号:: 208-238
标识
DOI:10.1039/9781782621836-00208
摘要
Based on a robust understanding of how physicochemical properties drive PK, relatively little experimental data is required establish a drug discovery optimisation strategy and gain confidence that clinical candidates are selected with a high likelihood of achieving an acceptable clinical PK profile. This chapter is designed to be used by the practicing medicinal chemist and attempts to provide both the context and some specific advice to apply best practice for PK and efficacious dose prediction. Hints and tips are suggested throughout the chapter and methods to predict human PK parameters outlined. Worked examples of both proprietary candidate and approved drugs are used to highlight particular themes. This chapter can be used in conjunction with the associated Dose to Man iPad app which allows medicinal chemists to simulate therapeutic doses and exposures in Man for their drug discovery projects via the approaches and equations presented herein. ‘Dose to man’ approach integrates information to rank and select compounds, which as a minimum, is a sophisticated scoring function, and at best, is an effective tool for assessing clinical utility.
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