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紧密结合酶抑制剂的剂量反应筛选的优化设计。

Optimal design for the dose-response screening of tight-binding enzyme inhibitors.

机构信息

BioKin Ltd., Watertown, MA 02472, USA.

出版信息

Anal Biochem. 2011 Dec 15;419(2):117-22. doi: 10.1016/j.ab.2011.06.013. Epub 2011 Jul 25.

Abstract

Optimal experimental designs for the dose-response screening of enzyme inhibitors were studied within the framework of the Box-Lucas theory. If the enzyme concentration E is considered as a fixed constant, an exact two-point D-optimal design consists of a pair of inhibitor concentrations equal to I(1)=0 and I(2)=E+K, where K is the apparent inhibition constant. If the enzyme concentration is treated as an adjustable parameter, an empirical three-point D-optimal design consists of three inhibitor concentrations equal to I(1)=0, I(2)=E+3K, and I(3)=0.7E. These results were applied to design optimized, irregularly spaced concentration series for routine inhibitor screening. A heuristic Monte Carlo simulation study confirmed that the optimized dilution series is significantly more efficient than the classic series characterized by a constant dilution ratio. An online calculator to create optimized dilution series is freely available at http://www.biokin.com/design/.

摘要

在 Box-Lucas 理论框架内研究了用于酶抑制剂剂量反应筛选的最佳实验设计。如果将酶浓度 E 视为固定常数,则精确的两点 D-最优设计由一对抑制剂浓度组成,等于 I(1)=0 和 I(2)=E+K,其中 K 是表观抑制常数。如果将酶浓度视为可调参数,则经验三点 D-最优设计由三个抑制剂浓度组成,等于 I(1)=0、I(2)=E+3K 和 I(3)=0.7E。这些结果被应用于设计优化的、不规则间隔的浓度系列,用于常规抑制剂筛选。启发式蒙特卡罗模拟研究证实,优化的稀释系列比具有恒定稀释比的经典系列效率更高。可在线创建优化稀释系列的计算器可在 http://www.biokin.com/design/ 免费获得。

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