首页> 外文期刊>Journal of computational and theoretical nanoscience >Evaluation of Computational Method from Crystallographic Structure of Galantamine for Molecular Modeling of Drug Candidates Anti-Alzheimer’s Disease
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Evaluation of Computational Method from Crystallographic Structure of Galantamine for Molecular Modeling of Drug Candidates Anti-Alzheimer’s Disease

机译:从加兰尼结晶结构评估药物候选药物抗阿尔茨海默病的分子建模

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Alzheimer’s disease is a neurodegenerative disorder caused by multiple factors, such as: acetylcholine deficiency at synapses; aggregation of beta-amyloid peptides for the formation of senile plaques in the brain tissue and the formation of neurofibrillary tangles within the neurons.It is an increasingly prevalent disease in the elderly and is gaining increasing importance with social development and increased life expectancy in the world. Currently, there are five drugs approved and available in Brazilian market as anti-Alzheimer drugs, which are tacrine, donepezil,rivastigmine, galantamine and memantine, acting as target-specific drugs to reduce symptoms, but Alzheimer’s disease remains without known cure until today. In an attempt to modify this reality, the scientific community continues to seek more effective drugs, and molecular modeling hasbeen an important tool to accelerate the screening process for potentially active compounds and to obtain specific properties of these potential drugs. Thus, this work analyzed the geometric parameters of the crystallographic structure of galantamine, optimizing it under different computationalmethods aiming at the validation of the best computational method and basis sets when compared to the experimental model. In order to do so, this study used several methods of quantum chemistry, multivariate and statistical analysis, from which it was observed that, among the 15 computationalmethods evaluated, the Hartree-Fock method associated to the 6-31G** basis set was the one that best reproduced the experimental geometric parameters, being therefore the validated method in this work and may help future in silico studies of alkaloids as potential anti-Alzheimer drugs.
机译:阿尔茨海默病是一种由多因素引起的神经变性疾病,例如:亚乙酰胆碱缺乏症状; β-淀粉样肽的聚集在脑组织中形成老年斑块和神经元内神经纤维缠结的形成。是老年人的一种越来越普遍的疾病,并且在社会发展和世界上增加了预期寿命的重要性。 。目前,巴西市场有五种批准的药物作为抗阿尔茨海默氏药物,抗阿尔茨海默氏药物,含有含量的毒素,多奈哌齐,菌敏肽,加兰汀和忆子,作为靶心制的药物,以减少症状,但阿尔茨海默病仍然没有已知治疗。为了试图改变这一现实,科学界继续寻求更有效的药物,并且分子建模的分子建模是加速潜在活性化合物的筛选过程的重要工具,并获得这些潜在药物的具体性质。因此,该工作分析了加兰汀的晶体结构的几何参数,在与实验模型相比时瞄准最佳计算方法和基础集的不同计算方法下的优化。为了这样做,本研究使用了几种量子化学,多变量和统计分析方法,从中观察到,在评估的15个计算方法中,与6-31G **基础集相关的Hartree-Fock方法是因此,最佳再现实验几何参数,因此是这项工作中的验证方法,可能有助于对生物碱的硅研究中的未来作为潜在的抗阿尔茨海默药物。

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