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溶液中静态酶的扩散控制米氏动力学理论与模拟

Theory and simulation of diffusion-controlled Michaelis-Menten kinetics for a static enzyme in solution.

作者信息

Park Soohyung, Agmon Noam

机构信息

Institute of Chemistry and the Fritz Haber Research Center, The Hebrew University, Jerusalem 91904, Israel.

出版信息

J Phys Chem B. 2008 May 15;112(19):5977-87. doi: 10.1021/jp075941d. Epub 2008 Jan 26.

Abstract

We develop a uniform theory for the many-particle diffusion-control effects on the Michaelis-Menten scheme in solution, based on the Gopich-Szabo relaxation-time approximation (Gopich, I. V.; Szabo, A. J. Chem. Phys. 2002, 117, 507). We extend the many-particle simulation algorithm to the Michaelis-Menten case by utilizing the Green function previously derived for excited-state reversible geminate recombination with different lifetimes (Gopich, I. V.; Agmon, N. J. Chem. Phys. 2000, 110, 10433). Running the simulation for representative parameter sets in the time domain and under steady-state conditions, we find poor agreement with classical kinetics but excellent agreement with some of the modern theories for bimolecular diffusion-influenced reactions. Our simulation algorithm can be readily extended to the biologically interesting case of dense patches of membrane-bound enzymes.

摘要

基于戈皮奇-萨博弛豫时间近似(戈皮奇,I. V.;萨博,A. 《化学物理杂志》2002年,第117卷,第507页),我们针对溶液中米氏反应体系的多粒子扩散控制效应,开发了一种统一理论。通过利用先前为具有不同寿命的激发态可逆双分子复合反应推导的格林函数(戈皮奇,I. V.;阿蒙,N. 《化学物理杂志》2000年,第110卷,第10433页),我们将多粒子模拟算法扩展到米氏反应情形。在时域和稳态条件下对代表性参数集进行模拟,我们发现与经典动力学的一致性较差,但与一些关于双分子扩散影响反应的现代理论一致性良好。我们的模拟算法可以很容易地扩展到生物膜结合酶密集斑块这种有趣的情形。

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