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量子力学/分子力学(QM/MM)研究中蛋白水解酶的作用机制及其抑制作用

Mechanisms of Proteolytic Enzymes and Their Inhibition in QM/MM Studies.

作者信息

Elsässer Brigitta, Goettig Peter

机构信息

Structural Biology Group, Department of Biosciences, University of Salzburg, Billrothstrasse 11, 5020 Salzburg, Austria.

出版信息

Int J Mol Sci. 2021 Mar 22;22(6):3232. doi: 10.3390/ijms22063232.

Abstract

Experimental evidence for enzymatic mechanisms is often scarce, and in many cases inadvertently biased by the employed methods. Thus, apparently contradictory model mechanisms can result in decade long discussions about the correct interpretation of data and the true theory behind it. However, often such opposing views turn out to be special cases of a more comprehensive and superior concept. Molecular dynamics (MD) and the more advanced molecular mechanical and quantum mechanical approach (QM/MM) provide a relatively consistent framework to treat enzymatic mechanisms, in particular, the activity of proteolytic enzymes. In line with this, computational chemistry based on experimental structures came up with studies on all major protease classes in recent years; examples of aspartic, metallo-, cysteine, serine, and threonine protease mechanisms are well founded on corresponding standards. In addition, experimental evidence from enzyme kinetics, structural research, and various other methods supports the described calculated mechanisms. One step beyond is the application of this information to the design of new and powerful inhibitors of disease-related enzymes, such as the HIV protease. In this overview, a few examples demonstrate the high potential of the QM/MM approach for sophisticated pharmaceutical compound design and supporting functions in the analysis of biomolecular structures.

摘要

酶促机制的实验证据往往很少,而且在许多情况下会因所采用的方法而无意中产生偏差。因此,明显相互矛盾的模型机制可能会引发长达数十年的关于数据正确解释及其背后真正理论的讨论。然而,通常这些对立的观点最终会被证明是一个更全面、更优越概念的特殊情况。分子动力学(MD)以及更先进的分子力学和量子力学方法(QM/MM)为处理酶促机制,特别是蛋白水解酶的活性,提供了一个相对一致的框架。与此一致的是,基于实验结构的计算化学近年来对所有主要蛋白酶类别都进行了研究;天冬氨酸蛋白酶、金属蛋白酶、半胱氨酸蛋白酶、丝氨酸蛋白酶和苏氨酸蛋白酶机制的例子都有相应标准作为坚实基础。此外,酶动力学、结构研究和其他各种方法的实验证据也支持所描述的计算机制。更进一步的是将这些信息应用于设计与疾病相关酶(如HIV蛋白酶)的新型强效抑制剂。在本综述中,一些例子展示了QM/MM方法在复杂药物化合物设计以及支持生物分子结构分析方面的巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f7/8004986/e71e8a183ead/ijms-22-03232-g001.jpg

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