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静电相互作用对细胞色素c氧化酶功能的作用。

The role of electrostatic interactions for cytochrome c oxidase function.

作者信息

Kannt A, Lancaster C R, Michel H

机构信息

Max-Planck-Institute for Biophysics, Department of Molecular Membrane Biology, Frankfurt am Main, Germany.

出版信息

J Bioenerg Biomembr. 1998 Feb;30(1):81-7. doi: 10.1023/a:1020563629032.

Abstract

In recent years, the enormous increase in high-resolution three-dimensional structures of proteins together with the development of powerful theoretical techniques have provided the basis for a more detailed examination of the role of electrostatics in determining the midpoint potentials of redox-active metal centers and in influencing the protonation behavior of titratable groups in proteins. Based on the coordinates of the Paracoccus denitrificans cytochrome c oxidase, we have determined the electrostatic potential in and around the protein, calculated the titration curves for all ionizable residues in the protein, and analyzed the response of the protein environment to redox changes at the metal centers. The results of this study provide insight into how charged groups can be stabilized within a low-dielectric environment and how the range of their electrostatic effects can be modulated by the protein. A cluster of 18 titratable groups around the heme a3-CuB binuclear center, including a hydroxide ion bound to the copper, was identified that accounts for most of the proton uptake associated with redox changes at the binuclear site. Predicted changes in net protonation were in reasonable agreement with experimentally determined values. The relevance of these findings in the light of possible mechanisms of redox-coupled proton movement is discussed.

摘要

近年来,蛋白质高分辨率三维结构的大量增加以及强大理论技术的发展,为更详细地研究静电作用在确定氧化还原活性金属中心的中点电位以及影响蛋白质中可滴定基团的质子化行为方面的作用提供了基础。基于反硝化副球菌细胞色素c氧化酶的坐标,我们确定了蛋白质内部及周围的静电势,计算了蛋白质中所有可电离残基的滴定曲线,并分析了蛋白质环境对金属中心氧化还原变化的响应。这项研究的结果深入了解了带电基团如何在低介电环境中得以稳定,以及蛋白质如何调节其静电作用范围。在血红素a3-CuB双核中心周围鉴定出一组18个可滴定基团,包括与铜结合的氢氧根离子,它们占双核位点氧化还原变化相关质子摄取的大部分。预测的净质子化变化与实验测定值合理吻合。本文讨论了这些发现与氧化还原偶联质子移动可能机制的相关性。

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