药物发现
计算机科学
优先次序
度量(数据仓库)
质量(理念)
药物靶点
数据科学
风险分析(工程)
管理科学
计算生物学
数据挖掘
药理学
医学
生物信息学
工程类
生物
哲学
认识论
作者
Timothy B. Durham,Michael R. Wiley
出处
期刊:AAPS advances in the pharmaceutical sciences series
日期:2017-01-01
卷期号:: 41-80
被引量:4
标识
DOI:10.1007/978-3-319-50042-3_3
摘要
Target engagement (TE) in drug discovery is generally defined as the interaction of ligands with their target biomolecules. Understanding TE allows research teams to design and interpret quality in vivo experiments, providing a more refined assessment of target validation. It can also orient teams toward delivering molecules that better enable clinical studies by focusing SAR efforts on the optimization of projected human performance characteristics. In this chapter, theoretical aspects of TE and its importance for addressing drug discovery issues like selectivity and the relationship of pharmacokinetics to pharmacodynamics are addressed. Methods to measure TE directly are reviewed along with a discussion of how to estimate TE based on pharmacokinetic data. The principles outlined within the chapter are then demonstrated by application to a theoretical drug discovery effort focused on validation of a novel protein target. Finally, two case studies are discussed in which application of these principles was used to optimize compounds toward desired human performance characteristics in one instance and to drive a target de-prioritization decision in another.
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