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一种预测单个残基对酶特异性和结合位点能量贡献的方法及其在MTH1中的应用。

A method for predicting individual residue contributions to enzyme specificity and binding-site energies, and its application to MTH1.

作者信息

Stewart James J P

机构信息

Stewart Computational Chemistry, 15210 Paddington Circle, Colorado Springs, CO, 80921, USA.

出版信息

J Mol Model. 2016 Nov;22(11):259. doi: 10.1007/s00894-016-3119-5. Epub 2016 Oct 6.

DOI:10.1007/s00894-016-3119-5
PMID:27714533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5054044/
Abstract

A new method for predicting the energy contributions to substrate binding and to specificity has been developed. Conventional global optimization methods do not permit the subtle effects responsible for these properties to be modeled with sufficient precision to allow confidence to be placed in the results, but by making simple alterations to the model, the precisions of the various energies involved can be improved from about ±2 kcal mol to ±0.1 kcal mol. This technique was applied to the oxidized nucleotide pyrophosphohydrolase enzyme MTH1. MTH1 is unusual in that the binding and reaction sites are well separated-an advantage from a computational chemistry perspective, as it allows the energetics involved in docking to be modeled without the need to consider any issues relating to reaction mechanisms. In this study, two types of energy terms were investigated: the noncovalent interactions between the binding site and the substrate, and those responsible for discriminating between the oxidized nucleotide 8-oxo-dGTP and the normal dGTP. Both of these were investigated using the semiempirical method PM7 in the program MOPAC. The contributions of the individual residues to both the binding energy and the specificity of MTH1 were calculated by simulating the effect of mutations. Where comparisons were possible, all calculated results were in agreement with experimental observations. This technique provides fresh insight into the binding mechanism that enzymes use for discriminating between possible substrates.

摘要

一种预测底物结合和特异性能量贡献的新方法已被开发出来。传统的全局优化方法无法以足够的精度对导致这些性质的微妙效应进行建模,从而难以对结果产生信心,但通过对模型进行简单修改,所涉及的各种能量的精度可以从约±2千卡/摩尔提高到±0.1千卡/摩尔。该技术应用于氧化核苷酸焦磷酸水解酶MTH1。MTH1的不同寻常之处在于其结合位点和反应位点相距甚远——从计算化学的角度来看这是一个优势,因为它允许在对接过程中对所涉及的能量进行建模,而无需考虑任何与反应机制相关的问题。在本研究中,研究了两种类型的能量项:结合位点与底物之间的非共价相互作用,以及负责区分氧化核苷酸8-氧代-dGTP和正常dGTP的相互作用。这两者均使用MOPAC程序中的半经验方法PM7进行研究。通过模拟突变的影响,计算了各个残基对MTH1结合能和特异性的贡献。在可能进行比较的情况下,所有计算结果均与实验观察结果一致。该技术为酶用于区分可能底物的结合机制提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/18a8713096b1/894_2016_3119_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/5d3ac2e84cd9/894_2016_3119_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/a85db75a696c/894_2016_3119_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/f8733fd8bab9/894_2016_3119_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/f17326741878/894_2016_3119_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/1a3e5176172c/894_2016_3119_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/c6929ec2f2a9/894_2016_3119_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/1ab567cd77c1/894_2016_3119_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/18a8713096b1/894_2016_3119_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/5d3ac2e84cd9/894_2016_3119_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/a85db75a696c/894_2016_3119_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/f8733fd8bab9/894_2016_3119_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/f17326741878/894_2016_3119_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/1a3e5176172c/894_2016_3119_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/c6929ec2f2a9/894_2016_3119_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/1ab567cd77c1/894_2016_3119_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6064/5054044/18a8713096b1/894_2016_3119_Fig8_HTML.jpg

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