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一种通过底物消耗来测定候选药物代谢稳定性半衰期和内在清除率的自动液相色谱-质谱法。

An automated liquid chromatography-mass spectrometry process to determine metabolic stability half-life and intrinsic clearance of drug candidates by substrate depletion.

作者信息

McNaney Colleen A, Drexler Dieter M, Hnatyshyn Serhiy Y, Zvyaga Tatyana A, Knipe Jay O, Belcastro James V, Sanders Mark

机构信息

Pharmaceutical Candidate Optimization - Discovery Analytical Sciences, Bristol-Myers Squibb Company, Wallingford, CT 06492, USA.

出版信息

Assay Drug Dev Technol. 2008 Feb;6(1):121-9. doi: 10.1089/adt.2007.103.

Abstract

An automated process is described for the detailed assessment of the in vitro metabolic stability properties of drug candidates in support of pharmaceutical property profiling. Compounds are incubated with liver microsomes using a robotic liquid handler. Aliquots are taken at various time points, and the resulting samples are quantitatively analyzed by liquid chromatography-mass spectrometry utilizing ion trap mass spectrometers to determine the amount of compound remaining. From these data metabolism rates can be calculated. A high degree of automation is achieved through custom software, which is employed for instrument setup, data processing, and results reporting. The assay setup is highly configurable, allowing for any combination of up to six user-selected time points, variable substrate concentration, and microsomes or other biologically active media. The data, based on relative substrate depletion, affords an estimate of metabolic stability through the calculation of half-life (t(1/2)) and intrinsic clearance, which are used to differentiate and rank order drug leads. In general, t(1/2) is the time necessary for the metabolism, following first-order kinetics, of 50% of the initial compound. Intrinsic clearance is the proportionality constant between rate of metabolism of a compound and its concentration at the enzyme site. Described here is the setup of the assay, and data from assay test compounds are presented.

摘要

本文描述了一种自动化流程,用于详细评估候选药物的体外代谢稳定性特性,以支持药物性质分析。使用机器人液体处理器将化合物与肝微粒体一起孵育。在不同时间点取等分试样,然后使用离子阱质谱仪通过液相色谱 - 质谱联用对所得样品进行定量分析,以确定剩余化合物的量。根据这些数据可以计算代谢速率。通过定制软件实现了高度自动化,该软件用于仪器设置、数据处理和结果报告。该分析方法的设置具有高度可配置性,允许最多六个用户选择的时间点、可变底物浓度以及微粒体或其他生物活性介质的任何组合。基于相对底物消耗的数据,通过计算半衰期(t(1/2))和内在清除率来估计代谢稳定性,这些参数用于区分和排列药物先导物。一般来说,t(1/2)是按照一级动力学代谢50%初始化合物所需的时间。内在清除率是化合物代谢速率与其在酶位点浓度之间的比例常数。本文介绍了该分析方法的设置,并展示了分析测试化合物的数据。

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