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对670种药物化合物的人体静脉药代动力学参数数据库进行趋势分析。

Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds.

作者信息

Obach R Scott, Lombardo Franco, Waters Nigel J

机构信息

Pharmacokinetics Dynamics and Metabolism, Pfizer Global Research and Development, Groton Laboratories, Groton, Connecticut, USA.

出版信息

Drug Metab Dispos. 2008 Jul;36(7):1385-405. doi: 10.1124/dmd.108.020479. Epub 2008 Apr 21.

Abstract

We present herein a compilation and trend analysis of human i.v. pharmacokinetic data on 670 drugs representing, to our knowledge, the largest publicly available set of human clinical pharmacokinetic data. This data set provides the drug metabolism scientist with a robust and accurate resource suitable for a number of applications, including in silico modeling, in vitro-in vivo scaling, and physiologically based pharmacokinetic approaches. Clearance, volume of distribution at steady state, mean residence time, and terminal phase half-life were obtained or derived from original references exclusively from studies utilizing i.v. administration. Plasma protein binding data were collected from other sources to supplement these pharmacokinetic data. These parameters were analyzed concurrently with a range of simple physicochemical descriptors, and resultant trends and patterns within the data are presented. Our findings with this much expanded data set were consistent with earlier described notions of trends between physicochemical properties and pharmacokinetic behavior. These observations and analyses, along with the large database of human pharmacokinetic data, should enable future efforts aimed toward developing quantitative structure-pharmacokinetic relationships and improving our understanding of the relationship between fundamental chemical characteristics and drug disposition.

摘要

我们在此展示了对670种药物的人体静脉注射药代动力学数据的汇编及趋势分析,据我们所知,这是最大的公开可用人体临床药代动力学数据集。该数据集为药物代谢科学家提供了一个强大而准确的资源,适用于多种应用,包括计算机模拟、体外-体内标度以及基于生理学的药代动力学方法。清除率、稳态分布容积、平均驻留时间和终末相半衰期是专门从使用静脉注射给药的原始参考文献中获取或推导得出的。血浆蛋白结合数据从其他来源收集以补充这些药代动力学数据。这些参数与一系列简单的物理化学描述符同时进行分析,并呈现数据中的结果趋势和模式。我们对这个大幅扩展的数据集的研究结果与早期描述的物理化学性质和药代动力学行为之间趋势的概念一致。这些观察和分析,连同庞大的人体药代动力学数据库,应能推动未来旨在建立定量构效关系和增进我们对基本化学特征与药物处置之间关系理解的努力。

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