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

机译:发现药物代谢和药代动力学/案例研究中的领先优化:丙型肝炎病毒(HCV)蛋白酶抑制剂SCH 503034

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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.
机译:使用药物代谢和药代动力学(DMPK)参数进行铅优化已成为最近十年来参与药物发现的研究组织的主要重点之一。在前导优化过程中,对大量化合物使用快速体内和体外DMPK筛选程序相结合,已开发出具有可接受DMPK特性的化合物。在这篇综述中,我们介绍了一种通用的筛选范例,该范例目前正在先灵P雅(Schering-Plough)用作药物发现的一部分,并且我们以C型肝炎病毒(HCV)蛋白酶抑制剂程序为例描述了一个案例研究。通过使用DMPK优化工具,选择了有效的HCV蛋白酶抑制剂SCH 503034作为候选药物进行开发。

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