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单分子米氏动力学中的动态无序:Wilemski-Fixman近似下的反应扩散形式

Dynamic disorder in single-molecule Michaelis-Menten kinetics: the reaction-diffusion formalism in the Wilemski-Fixman approximation.

作者信息

Chaudhury Srabanti, Cherayil Binny J

机构信息

Department of Inorganic and Physical Chemistry, Indian Institute of Science, Bangalore 560012, India.

出版信息

J Chem Phys. 2007 Sep 14;127(10):105103. doi: 10.1063/1.2768059.

Abstract

Single-molecule equations for the Michaelis-Menten [Biochem. Z. 49, 333 (1913)] mechanism of enzyme action are analyzed within the Wilemski-Fixman [J. Chem. Phys. 58, 4009 (1973); 60, 866 (1974)] approximation after the effects of dynamic disorder--modeled by the anomalous diffusion of a particle in a harmonic well--are incorporated into the catalytic step of the reaction. The solution of the Michaelis-Menten equations is used to calculate the distribution of waiting times between successive catalytic turnovers in the enzyme beta-galactosidase. The calculated distribution is found to agree qualitatively with experimental results on this enzyme obtained at four different substrate concentrations. The calculations are also consistent with measurements of correlations in the fluctuations of the fluorescent light emitted during the course of catalysis, and with measurements of the concentration dependence of the randomness parameter.

摘要

在将由粒子在谐振子势阱中的反常扩散所模拟的动态无序效应纳入反应的催化步骤之后,我们在维伦斯基 - 菲克斯曼近似[《化学物理杂志》58, 4009 (1973); 60, 866 (1974)]下分析了米氏[《生物化学杂志》49, 333 (1913)]酶作用机制的单分子方程。利用米氏方程的解来计算β - 半乳糖苷酶中连续催化周转之间等待时间的分布。发现计算得到的分布与在四种不同底物浓度下对该酶获得的实验结果定性相符。这些计算还与催化过程中发射的荧光涨落的相关性测量结果以及随机性参数的浓度依赖性测量结果一致。

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