发现药物代谢和药物动力学中的先导优化/案例研究:丙型肝炎病毒 (HCV) 蛋白酶抑制剂 SCH 503034。

Perspectives in medicinal chemistry Pub Date : 2007-06-26
K-C Cheng, Walter A Korfmacher, Ronald E White, F George Njoroge
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引用次数: 0

摘要

近十年来,利用药物代谢和药代动力学(DMPK)参数对先导化合物进行优化已成为药物发现研究机构的主要关注点之一。在先导药物优化过程中,对大量化合物结合使用体内和体外快速 DMPK 筛选程序,开发出了具有可接受 DMPK 特性的化合物。在这篇综述中,我们介绍了先灵葆雅目前作为药物发现的一部分而使用的一般筛选范例,并以丙型肝炎病毒(HCV)蛋白酶抑制剂项目为例介绍了一个案例研究。通过使用 DMPK 优化工具,一种强效 HCV 蛋白酶抑制剂 SCH 503034 被选为候选药物进行开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Lead Optimization in Discovery Drug Metabolism and Pharmacokinetics/Case study: The Hepatitis C Virus (HCV) Protease Inhibitor SCH 503034.

Lead optimization using drug metabolism and pharmacokinetics (DMPK) parameters has become one of the primary focuses of research organizations involved in drug discovery in the last decade. Using a combination of rapid in vivo and in vitro DMPK screening procedures on a large array of compounds during the lead optimization process has resulted in development of compounds that have acceptable DMPK properties. In this review, we present a general screening paradigm that is currently being used as part of drug discovery at Schering-Plough and we describe a case study using the Hepatitis C Virus (HCV) protease inhibitor program as an example. By using the DMPK optimization tools, a potent HCV protease inhibitor, SCH 503034, was selected for development as a candidate drug.

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