黄连木中羟基香豆素和部分黄酮类化合物。作为阿尔茨海默病的多靶点抑制剂:分子对接和ADMET研究

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL
Meriem Lamrani, Talia Serseg, Khedidja Benarous, Ibrahim Sifi, Mohamed Yousfi
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引用次数: 0

摘要

目的:本研究旨在寻找阿尔茨海默病靶酶乙酰胆碱酯酶、丁基胆碱酯酶、单酰基甘油脂肪酶、β -分泌酶和天冬酰胺内肽酶的新选择性抑制剂。方法:研究大西洋假丝霉的抑菌作用。用Ellman法测定甲醇提取物对乙酰胆碱酯酶的抑制作用。分子对接研究是使用Autodock Vina实现的。从PubChem数据库和Protein数据库中获得了3-甲氧基红素、乳香二烯酸、7-乙氧基香豆素、3',5,5,7 -三羟基-4'-甲氧基黄酮和5,6,7,4'-四羟基黄酮醇-3- o -rutinoside分子的结构和5种酶的结构。使用swiss-ADME和ADMET- sar服务器检查ADMET参数以确认其药代动力学。结果:大西洋青霉;甲醇提取物对乙酰胆碱酯酶有明显的抑制作用(IC50 = 0.26±0.004 mg/ml)。3-甲氧基红素、乳香二烯酸、7-乙氧基香豆素、3',5,5,7 -三羟基-4'-甲氧基黄酮和5,6,7,4'-四羟基黄酮醇-3-蓖麻苷与这五种酶的分子对接结果表明,这些分子与阿尔茨海默病靶点具有显著的亲和力,它们可以与所研究的酶形成氢键和疏水相互作用。乳香二烯酸与BACE活性位点Arg128之间的氢键最短为1.7°,而配合物5,6,7,4'-四羟基黄酮醇-3- o -芦丁苷-HuBchE的自由能最低为-11.2°。据我们所知,本文首次对这些分子潜在的抗阿尔茨海默病作用进行了研究。结论:本工作的对接研究表明,3-甲氧基红素与乳香二烯酸、7-乙氧基香豆素、3',5,5,7 -三羟基-4'-甲氧基黄酮和5,6,7,4'-四羟基黄酮醇- 3- o -rutinoside对阿尔兹海默病病理相关的酶具有良好的亲和性,证实了这些分子能够抑制所研究的酶:HuAChE、HuBChE、BACE、MAGL和AEP。这些分子可能成为预防阿尔茨海默病的候选药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hydroxycoumarins and some Flavonoids from Pistacia atlantica Desf. as Multi-targets Inhibitors for Alzheimer's Disease: Molecular Docking and ADMET Studies.

Objective: The present study aimed to identify new selective inhibitors for acetylcholinesterase, butyrylcholinesterase, monoacylglycerol lipase, beta-secretase, and Asparagine endopeptidase, the targets enzymes in Alzheimer's disease.

Methods: The inhibitory effect of P. atlantica Desf. methanol extracts against AChE were determined using Ellman's method. The molecular docking study is achieved using Autodock Vina. The structures of the molecules 3-methoxycarpachromene, masticadienonic acid, 7-ethoxycoumarin, 3',5,7- trihydroxy-4'-methoxyflavanone and 5,6,7,4'-tetrahydroxyflavonol-3-O-rutinoside and the five enzymes were obtained from the PubChem database and Protein databank. ADMET parameters were checked to confirm their pharmacokinetics using swiss-ADME and ADMET-SAR servers.

Results: P. atlantica Desf. methanol extracts showed a notable inhibitory effect against AChE (IC50 = 0.26 ± 0.004 mg/ml). The molecular docking results of 3-methoxycarpachromene, masticadienonic acid, 7-ethoxycoumarin, 3',5,7-trihydroxy-4'-methoxyflavanone and 5,6,7,4'-tetrahydroxyflavonol-3-Orutinoside with the five enzymes show significant affinities of these molecules towards Alzheimer disease targets, where they could form several interactions, such as hydrogen bonds and hydrophobic interactions with the studied enzymes. The shortest hydrogen bond is 1.7 A° between masticadienonic acid and Arg128 of the active site of BACE, while the lowest free energy is -11.2 of the complex 5,6,7,4'-tetrahydroxyflavonol-3-O-rutinoside -HuBchE. To the best of our knowledge, these molecules' potential anti-Alzheimer disease effect is studied in this paper for the first time.

Conclusion: The docking studies of this work show that 3-methoxycarpachromene and masticadienonic acid, 7-ethoxycoumarin, 3',5,7-Trihydroxy-4'-methoxyflavanone and 5,6,7,4'-tetrahydroxyflavonol- 3-O-rutinoside have good affinities towards the enzymes involved in Alzheimer pathology, which confirm the ability of these molecules to inhibit the studied enzymes namely: HuAChE, HuBChE, BACE, MAGL, and AEP. These molecules might become drug candidates to prevent Alzheimer's disease.

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来源期刊
Current computer-aided drug design
Current computer-aided drug design 医学-计算机:跨学科应用
CiteScore
3.70
自引率
5.90%
发文量
46
审稿时长
>12 weeks
期刊介绍: Aims & Scope Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.
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