药物发现
铅(地质)
高通量筛选
时间轴
配体效率
铅化合物
吞吐量
计算机科学
鉴定(生物学)
药品
药物开发
计算生物学
生化工程
药理学
化学
工程类
医学
生物
配体(生物化学)
生物化学
体外
数学
电信
受体
植物
古生物学
无线
统计
作者
Craig W. Lindsley,David Weaver,Thomas M. Bridges,J. Phillip Kennedy
出处
期刊:Wiley Encyclopedia of Chemical Biology
日期:2008-02-22
卷期号:: 1-9
被引量:2
标识
DOI:10.1002/9780470048672.wecb634
摘要
Abstract Lead optimization in drug discovery has changed significantly over the past five years and no longer is fragmented into separate hit‐to‐lead and lead optimization phases. Chemical lead optimization from high‐throughput screening (HTS) to clinical candidate identification is now one seamless process that draws on new technologies for accelerated synthesis, purification, and screening of directed, iterative compound libraries. Advances In high‐throughput screening technologies allow detection of new allosteric modes of target modulation, which provides new chemotypes and target opportunities. With the incorporation of drug metabolism and pharmacokinetics (DMPK) inputs early in the lead optimization work flow, molecules are not optimized solely for target potency and selectivity. Moreover, “closed‐loop” work flows are in place such that synthesis and primary screening operate on a 1‐week turnaround for up to 48 compounds/week with DMPK data cycling every other week to guide compound design, which provides expedited timelines for the development of proof‐of‐concept compounds and clinical candidates with limited human resources.
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