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用于筛选单克隆抗体先导候选物的药代动力学风险降低工具。

Pharmacokinetic de-risking tools for selection of monoclonal antibody lead candidates.

作者信息

Dostalek Miroslav, Prueksaritanont Thomayant, Kelley Robert F

机构信息

a Drug Metabolism and Pharmacokinetics, Global Nonclinical Development, Shire , Lexington , MA , USA.

b Faculty of Pharmaceutical Sciences, Chulalongkorn University , Bangkok , Thailand.

出版信息

MAbs. 2017 Jul;9(5):756-766. doi: 10.1080/19420862.2017.1323160. Epub 2017 May 2.

Abstract

Pharmacokinetic studies play an important role in all stages of drug discovery and development. Recent advancements in the tools for discovery and optimization of therapeutic proteins have created an abundance of candidates that may fulfill target product profile criteria. Implementing a set of in silico, small scale in vitro and in vivo tools can help to identify a clinical lead molecule with promising properties at the early stages of drug discovery, thus reducing the labor and cost in advancing multiple candidates toward clinical development. In this review, we describe tools that should be considered during drug discovery, and discuss approaches that could be included in the pharmacokinetic screening part of the lead candidate generation process to de-risk unexpected pharmacokinetic behaviors of Fc-based therapeutic proteins, with an emphasis on monoclonal antibodies.

摘要

药代动力学研究在药物发现和开发的各个阶段都发挥着重要作用。治疗性蛋白质发现和优化工具的最新进展产生了大量可能符合目标产品特性标准的候选物。在药物发现的早期阶段,使用一系列计算机模拟、小规模体外和体内工具有助于识别具有良好特性的临床先导分子,从而减少推进多个候选物进入临床开发阶段的劳动力和成本。在本综述中,我们描述了药物发现过程中应考虑的工具,并讨论了在候选先导物生成过程的药代动力学筛选部分可纳入的方法,以降低基于Fc的治疗性蛋白质(重点是单克隆抗体)出现意外药代动力学行为的风险。

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