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有限浓度对扩散控制反应的影响。

Finite concentration effects on diffusion-controlled reactions.

作者信息

Senapati Sanjib, Wong Chung F, McCammon J Andrew

机构信息

Department of Chemistry and Biochemistry, University of California-San Diego, La Jolla, CA 92093-0365, USA.

出版信息

J Chem Phys. 2004 Oct 22;121(16):7896-900. doi: 10.1063/1.1795132.

Abstract

The algorithm by Northrup, Allison, and McCammon [J. Chem. Phys. 80, 1517 (1984)] has been used for two decades for calculating the diffusion-influenced rate-constants of enzymatic reactions. Although many interesting results have been obtained, the algorithm is based on the assumption that substrate-substrate interactions can be neglected. This approximation may not be valid when the concentration of the ligand is high. In this work, we constructed a simulation model that can take substrate-substrate interactions into account. We first validated the model by carrying out simulations in ways that could be compared to analytical theories. We then carried out simulations to examine the possible effects of substrate-substrate interactions on diffusion-controlled reaction rates. For a substrate concentration of 0.1 mM, we found that the diffusion-controlled reaction rates were not sensitive to whether substrate-substrate interactions were included. On the other hand, we observed significant influence of substrate-substrate interactions on calculated reaction rates at a substrate concentration of 0.1M. Therefore, a simulation model that takes substrate-substrate interactions into account is essential for reliably predicting diffusion-controlled reaction rates at high substrate concentrations, and one such simulation model is presented here.

摘要

由诺思拉普、艾利森和麦卡蒙[《化学物理杂志》80, 1517 (1984)]提出的算法已被用于计算酶促反应的扩散影响速率常数长达二十年。尽管已经获得了许多有趣的结果,但该算法基于底物-底物相互作用可被忽略的假设。当配体浓度较高时,这种近似可能无效。在这项工作中,我们构建了一个能够考虑底物-底物相互作用的模拟模型。我们首先通过以可与解析理论相比较的方式进行模拟来验证该模型。然后我们进行模拟以研究底物-底物相互作用对扩散控制反应速率的可能影响。对于0.1 mM的底物浓度,我们发现扩散控制反应速率对是否包含底物-底物相互作用并不敏感。另一方面,我们观察到在0.1 M的底物浓度下,底物-底物相互作用对计算出的反应速率有显著影响。因此,一个考虑底物-底物相互作用的模拟模型对于可靠预测高底物浓度下的扩散控制反应速率至关重要,本文在此给出了这样一个模拟模型。

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