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Protein Dynamics and Enzymatic Catalysis:Investigating the Peptidyl-Prolyl Cis-Trans Isomerization Activity of Cyclophilin A

机译:蛋白质动力学和酶催化:研究亲环蛋白A的肽基-脯氨酰顺反异构活性。

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摘要

A growing body of evidence suggests a connection between protein dynamics and enzymatic catalysis.In this paper,we present a variety of computational studies designed to investigate the role of protein dynamics in the detailed mechanism of peptidyl-prolyl cis-trans isomerization catalyzed by human cyclophilin A.The results identify a network of protein vibrations,extending from surface regions of the enzyme to the active site and coupled to substrate turnover.Indications are that this network may have a role in promoting catalysis.Crucial parts of this network are found to be conserved in 10 cyclophilin structures from six different species.Experimental evidence for the existence of this network comes from previous NMR relaxation studies,where motions in several residues,forming parts of this network,were detected only during substrate turnover.The high temperature factors(from X-ray crystal structures)associated with the network residues provide further evidence of these vibrations.Along with the knowledge of enzyme structure,this type of network could provide new insights into enzymatic catalysis and the effect of distant ligand binding on protein function.The procedure outlined in this paper is general and can be applied to other enzymatic systems as well.This presents an interesting opportunity;collaborative experimental and theoretical investigations designed to characterize in detail the nature and function of this type of network could enhance the understanding of protein dynamics in enzymatic catalysis.
机译:越来越多的证据表明蛋白质动力学与酶催化之间存在联系。在本文中,我们提出了各种计算研究,旨在研究蛋白质动力学在人亲环蛋白催化的肽基-脯氨酰顺反异构化的详细机理中的作用。答:结果确定了一个蛋白质振动网络,该网络从酶的表面区域延伸到活性位点,并与底物周转有关。显示该网络可能在促进催化中起作用。发现该网络的关键部分是保留了来自六个不同物种的10个亲环蛋白结构的实验证据。该网络存在的实验证据来自先前的NMR弛豫研究,其中仅在底物周转期间检测到了几个残基(构成该网络的一部分)的运动。与网络残留物相关的X射线晶体结构提供了这些振动的进一步证据。加上酶的结构知识,这种类型的网络可以为酶催化以及远距离配体结合对蛋白质功能的影响提供新的见解。本文概述的过程是通用的,也可以应用于其他酶体系。提供了一个有趣的机会;旨在详细描述此类网络的性质和功能的协作性实验和理论研究可以增强对酶催化中蛋白质动力学的理解。

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