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The Use of Multiscale Molecular Simulations in Understanding a Relationship between the Structure and Function of Biological Systems of the Brain: The Application to Monoamine Oxidase Enzymes

机译:多尺度分子模拟在理解大脑生物系统的结构与功能之间的关系中的应用:单胺氧化酶的应用。

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摘要

Computational techniques provide accurate descriptions of the structure and dynamics of biological systems, contributing to their understanding at an atomic level.Classical MD simulations are a precious computational tool for the processes where no chemical reactions take place.QM calculations provide valuable information about the enzyme activity, being able to distinguish among several mechanistic pathways, provided a carefully selected cluster model of the enzyme is considered.Multiscale QM/MM simulation is the method of choice for the computational treatment of enzyme reactions offering quantitative agreement with experimentally determined reaction parameters.Molecular simulation provide insight into the mechanism of both the catalytic activity and inhibition of monoamine oxidases, thus aiding in the rational design of their inhibitors that are all employed and antidepressants and antiparkinsonian drugs. Aging society and therewith associated neurodegenerative and neuropsychiatric diseases, including depression, Alzheimer's disease, obsessive disorders, and Parkinson's disease, urgently require novel drug candidates. Targets include monoamine oxidases A and B (MAOs), acetylcholinesterase (AChE), butyrylcholinesterase (BChE), and various receptors and transporters. For rational drug design it is particularly important to combine experimental synthetic, kinetic, toxicological, and pharmacological information with structural and computational work. This paper describes the application of various modern computational biochemistry methods in order to improve the understanding of a relationship between the structure and function of large biological systems including ion channels, transporters, receptors, and metabolic enzymes. The methods covered stem from classical molecular dynamics simulations to understand the physical basis and the time evolution of the structures, to combined QM, and QM/MM approaches to probe the chemical mechanisms of enzymatic activities and their inhibition. As an illustrative example, the later will focus on the monoamine oxidase family of enzymes, which catalyze the degradation of amine neurotransmitters in various parts of the brain, the imbalance of which is associated with the development and progression of a range of neurodegenerative disorders. Inhibitors that act mainly on MAO A are used in the treatment of depression, due to their ability to raise serotonin concentrations, while MAO B inhibitors decrease dopamine degradation and improve motor control in patients with Parkinson disease. Our results give strong support that both MAO isoforms, A and B, operate through the hydride transfer mechanism. Relevance of MAO catalyzed reactions and MAO inhibition in the context of neurodegeneration will be discussed.
机译:计算技术可准确描述生物系统的结构和动力学,有助于从原子角度理解它们。经典的MD模拟是无化学反应过程的宝贵计算工具.QM计算可提供有关酶活性的有价值信息考虑到精心选择的酶簇模型,能够区分几种机械途径。多尺度QM / MM模拟是酶处理的计算处理的选择方法,提供了与实验确定的反应参数定量吻合的方法。提供有关催化活性和单胺氧化酶抑制机制的真知灼见,从而有助于合理设计全部使用的抑制剂以及抗抑郁药和抗帕金森病药物。老龄化社会以及与之相关的神经退行性疾病和神经精神疾病,包括抑郁症,阿尔茨海默氏病,强迫症和帕金森氏病,迫切需要新的药物候选物。目标包括单胺氧化酶A和B(MAO),乙酰胆碱酯酶(AChE),丁酰胆碱酯酶(BChE)以及各种受体和转运蛋白。对于合理的药物设计,将实验合成,动力学,毒理学和药理学信息与结构和计算工作相结合尤其重要。本文介绍了各种现代计算生物化学方法的应用,以增进对大型生物系统(包括离子通道,转运蛋白,受体和代谢酶)的结构与功能之间关系的理解。这些方法涵盖了经典的分子动力学模拟,以了解结构的物理基础和时间演变,并结合了QM和QM / MM方法来探索酶活性及其抑制作用的化学机理。作为说明性的例子,后面将集中于酶的单胺氧化酶家族,其催化大脑各个部分中胺神经递质的降解,其不平衡与一系列神经退行性疾病的发生和发展有关。由于主要作用于MAO A的抑制剂可提高血清素浓度,因此可用于治疗抑郁症,而MAO B抑制剂可降低多巴胺降解并改善帕金森氏病患者的运动控制。我们的结果提供了有力的支持,即MAO同工型A和B均通过氢化物转移机理起作用。将讨论神经变性背景下MAO催化反应和MAO抑制的相关性。

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