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通过计算机辅助药物设计方法进行乙酰胆碱酯酶抑制剂类似物作为抗阿尔茨海默病药物的从头药物设计、分子对接和计算机模拟分子预测

De-novo Drug Design, Molecular Docking and In-Silico Molecular Prediction of AChEI Analogues through CADD Approaches as Anti-Alzheimer's Agents.

作者信息

Pandey Surabhi, Singh B K

机构信息

Department of Pharmaceutical Sciences Bhimtal Campus, Kumaun University, Nainital, India.

Department of Pharmaceutical Sciences, Kumaun University, Nainital, India.

出版信息

Curr Comput Aided Drug Des. 2020;16(1):54-72. doi: 10.2174/1573409915666190301124210.

Abstract

BACKGROUND

There are over 44 million persons who suffer with Alzheimer's disease (AD) worldwide, no existence of cure and only symptomatic treatments are available for it. The aim of this study is to evaluate the anti-Alzheimer potential of designed AChEI analogues using computer simulation docking studies. AChEIs are the most potential standards for treatment of AD, because they have proven efficacy. Among all AChEIs donepezil possesses lowest adverse effects, it can treat mildmoderate- severe AD and only once-daily dosing is required. Therefore, donepezil is recognized as a significant prototype for design and development of new drug molecule.

METHODS

In this study the Inhibitory potential of the design compounds on acetylcholinesterase enzyme has been evaluated. Docking studies has been performed which further analyzed by in-silico pharmacokinetic evaluation through pharmacopredicta after that Interaction modes with enzyme active sites were determined. Docking studies revealed that there is a strong interaction between the active sites of AChE enzyme and analyzed compounds.

RESULTS

As a result 26 compounds have been indicates better inhibitory activity on AChE enzyme and all the screening parameters have also been satisfied by all 26 compounds. From these 26 compounds, six compounds 17, 18, 24, 30, 36 and 56 are found to be the most potent inhibitors of this series by insilico study through INVENTUS v 1.1 software, having highest bio-affinities i.e. - 8.51, - 7.67, - 8.30, - 7.59, - 8.71 and -7.62 kcal/mol respectively, while the standard or reference drug donepezil had binding affinity of - 6.32 kcal/mol.

CONCLUSION

Computer aided drug design approach has been playing an important role in the design and development of novel anti- AD drugs. With the help of structure based drug design some novel analogues of donepezil have been designed and the molecular docking studies with structure based ADME properties prediction studies is performed for prediction of AChE inhibitory activity. The binding mode of proposed compounds with target protein i.e. AChE has been evaluated and the resulting data from docking studies explains that all of the newly designed analogues had significantly high affinity towards target protein compared to donepezil as a reference ligand.

摘要

背景

全球有超过4400万人患有阿尔茨海默病(AD),该病无法治愈,仅能进行对症治疗。本研究旨在通过计算机模拟对接研究评估设计的乙酰胆碱酯酶抑制剂(AChEI)类似物的抗阿尔茨海默病潜力。AChEIs是治疗AD最具潜力的标准药物,因为它们已被证明有效。在所有AChEIs中,多奈哌齐的不良反应最低,它可治疗轻度至重度AD,且只需每日给药一次。因此,多奈哌齐被认为是新药分子设计和开发的重要原型。

方法

在本研究中,评估了设计化合物对乙酰胆碱酯酶的抑制潜力。进行了对接研究,之后通过Pharmacopredicta进行计算机模拟药代动力学评估进一步分析,确定了与酶活性位点的相互作用模式。对接研究表明,AChE酶的活性位点与分析的化合物之间存在强烈相互作用。

结果

结果显示,26种化合物对AChE酶具有更好的抑制活性,且所有26种化合物均满足所有筛选参数。通过INVENTUS v 1.1软件进行的计算机模拟研究发现,在这26种化合物中,6种化合物17、18、24、30、36和56是该系列中最有效的抑制剂,其生物亲和力最高,分别为-8.51、-7.67、-8.30、-7.59、-8.71和-7.62 kcal/mol,而标准或参考药物多奈哌齐的结合亲和力为-6.32 kcal/mol。

结论

计算机辅助药物设计方法在新型抗AD药物的设计和开发中发挥了重要作用。借助基于结构的药物设计,设计了一些多奈哌齐的新型类似物,并进行了基于结构的ADME性质预测研究的分子对接研究,以预测AChE抑制活性。评估了所提出化合物与靶蛋白即AChE的结合模式,对接研究所得数据表明,与作为参考配体的多奈哌齐相比,所有新设计的类似物对靶蛋白具有显著更高的亲和力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3389/6967183/f9182dc78292/CCADD-16-54_F1.jpg

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