静电对酶催化作用的研究:从导致布鲁纳综合征的单胺氧化酶A病理变异的计算模拟的见解。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Martina Rajić, Jernej Stare
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引用次数: 0

摘要

布鲁纳综合征是一种罕见的遗传性疾病,其特征是冲动攻击和智力残疾,这与单胺氧化酶a (MAO-A)酶的功能受损有关。据报道,具有MAOA基因特定点突变的患者表现出这些症状,同时血清素水平显著升高,这表明突变的MAO-A酶的催化性能下降。在这项研究中,我们提出了多尺度分子模拟,重点关注mao - a催化的C266F和V244I变体的5 -羟色胺降解的限速步骤,据报道,C266F和V244I变体与布鲁纳综合征的病理特征有关。我们发现C266F突变导致酶功能大约1.8万倍的减慢,这相当于MAOA基因敲除。对于V244I突变体,估计有一个较小的,但仍然显着的300倍的减速。此外,我们全面比较了酶静电对野生型(WT) MAO-A和上述两个突变体(C266F和V244I)的催化功能的影响,以及对我们早期研究的E446K突变体的影响。结果表明,突变诱导了反应片段与其酶环境之间静电相互作用的显著变化,导致所有考虑的MAO-A变体的催化性能下降。通过对突变体和野生型酶在残留水平上的几何比较,对突变效应的分析表明,突变体催化性能改变背后的主要驱动力是分散在整个酶上的细微结构变化。这些几何形状的变化也会影响与催化最相关的结构域,在这些结构域中,零点几Å的结构偏移可以显著改变对所涉及残基的屏障的贡献。这些结果与临床观察和生化数据得出的结论完全一致。我们的研究代表了利用化学物理的基本原理来解释基因驱动的病理的尝试向前迈进了一步。此外,我们的结果支持酶的催化功能是由静电相互作用驱动的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Electrostatic Effects on Enyzme Catalysis: Insights from Computational Simulations of Monoamine Oxidase A Pathological Variants Leading to the Brunner Syndrome.

Brunner syndrome is a rare genetic disorder characterized by impulsive aggressiveness and intellectual disability, which is linked to impaired function of the monoamine oxidase A (MAO-A) enzyme. Patients with specific point mutations in the MAOA gene have been reported to exhibit these symptoms, along with notably elevated serotonin levels, which suggest a decreased catalytic performance of the mutated MAO-A enzymes. In this study, we present multiscale molecular simulations focusing on the rate-limiting step of MAO-A-catalyzed serotonin degradation for the C266F and V244I variants that are reportedly associated with pathologies characteristic of the Brunner syndrome. We found that the C266F mutation causes an approximately 18,000-fold slowdown of enzymatic function, which is equivalent to a MAOA gene knockout. For the V244I mutant, a somewhat smaller, yet still significant 300-fold slowdown has been estimated. Furthermore, we conducted a comprehensive comparison of the impact of enzyme electrostatics on the catalytic function of the wild-type (WT) MAO-A and both aforementioned mutants (C266F and V244I), as well as on the E446K mutant investigated in one of our earlier studies. The results have shown that the mutation induces a noteworthy change in electrostatic interactions between the reacting moiety and its enzymatic surroundings, leading to a decreased catalytic performance in all of the considered MAO-A variants. An analysis of mutation effects supported by geometry comparison of mutants and the wild-type enzyme at a residue level suggests that a principal driving force behind the altered catalytic performance of the mutants is subtle structural changes scattered along the entire enzyme. These shifts in geometry also affect domains most relevant to catalysis, where structural offsets of few tenths of an Å can significantly change contribution to the barrier of the involved residues. These results are in full agreement with the reasoning derived from clinical observations and biochemical data. Our research represents a step forward in the attempts of using fundamental principles of chemical physics in order to explain genetically driven pathologies. In addition, our results support the view that the catalytic function of enzymes is crucially driven by electrostatic interactions.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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