组蛋白去乙酰化酶8的去乙酰化机制:来自QM/MM MP2计算的见解

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Rui Lai and Hui Li
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引用次数: 0

摘要

了解组蛋白去乙酰化酶的催化机制可以极大地促进安全有效的靶向治疗的发展。结合量子力学和分子力学(QM/MM) Møller-Plesset二阶微扰理论(MP2)几何优化,研究了人组蛋白去乙酰化酶8催化的四肽去乙酰化反应的催化机理。确定了三步催化机理:第一步是通过活化水与酰胺C原子的亲核加成和质子从水中转移到His143形成带负电荷的四面体中间体;第二步是通过质子从His143转移到酰胺N原子,形成具有延长酰胺C-N键的中性四面体中间体。第三步是酰胺C-N键的完全断裂,伴随着质子从中性四面体中间新形成的羧基转移到His142。这三个步骤具有相似的计算能垒,第二步具有最高的计算活化能,为19.6 kcal/mol。当位点1没有钾离子时,计算得到的活化自由能为17.7 kcal/mol。这两个值都与实验值17.5 kcal/mol符合得很好。他们的差异表明,酶的活性会增加25倍,这与实验结果一致。计算结果表明,在两种情况下,第二步的溶剂氢-氘动力学同位素效应均为~3.8。QM/MM B3LYP和QM/MM B3LYP- d3势能面上的能垒明显较高。特别是,QM/MM B3LYP和B3LYP- D3方法无法预测中性四面体中间体和第三步有意义的过渡态,导致两步机制。在足够大的基集(如aug-cc-pVDZ)下,QM/MM M05-2X、M06- 2x、M06和MN15方法可以得到更接近QM/MM MP2方法的结果。然而,当使用6-31G*等较小的基集时,这些方法在反应途径上的误差可达10 kcal/mol。这些结果突出了在酶催化的计算研究中使用精确的QM方法的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Deacetylation mechanism of histone deacetylase 8: insights from QM/MM MP2 calculations†

Deacetylation mechanism of histone deacetylase 8: insights from QM/MM MP2 calculations†

Understanding the catalytic mechanism of histone deacetylases can greatly benefit the development of targeted therapies that are safe and effective. Combined quantum mechanical and molecular mechanical (QM/MM) Møller–Plesset second-order perturbation theory (MP2) geometry optimizations are performed to investigate the catalytic mechanism of the deacetylation reaction of a tetrapeptide catalyzed by human Histone Deacetylase 8. A three-step catalytic mechanism is identified: the first step is the formation of a negatively charged tetrahedral intermediate via nucleophilic addition of the activated water to the amide C atom and a proton transfer from the water to His143; the second step is the formation of a neutral tetrahedral intermediate with an elongated amide C–N bond via a proton transfer from His143 to the amide N atom. The third step is the complete cleavage of the amide C–N bond, accompanied by a proton transfer from the newly formed carboxylic group of the neutral tetrahedral intermediate to His142. These three steps have similar computed energy barriers, with the second step having the highest calculated activation free energy of 19.6 kcal mol−1. When there is no potassium ion at site 1, the calculated activation free energy is 17.7 kcal mol−1. Both values are in good agreement with an experimental value of 17.5 kcal mol−1. Their difference implies that there would be a 25-fold increase in the enzyme's activity, in line with experiments. The solvent hydrogen–deuterium kinetic isotope effect was computed to be ∼3.8 for the second step in both cases. It is also found that the energy barriers are significantly and systematically higher on the QM/MM B3LYP and QM/MM B3LYP-D3 potential energy surfaces. In particular, the QM/MM B3LYP and B3LYP-D3 methods fail to predict the neutral tetrahedral intermediate and a meaningful transition state for the third step, leading to a two-step mechanism. With a sufficiently large basis set such as aug-cc-pVDZ, QM/MM M05-2X, M06-2X, M06, and MN15 methods can give results much closer to the QM/MM MP2 method. However, when a smaller basis set such as 6-31G* is used, these methods can lead to errors as large as 10 kcal mol−1 on the reaction pathway. These results highlight the importance of using accurate QM methods in the computational study of enzyme catalysis.

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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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