从Gongronema latifolium Benth叶中提取的植物化学物质中鉴定胆碱能酶和β-分泌酶的潜在抑制剂:综合计算分析。

IF 3.9 2区 化学 Q2 CHEMISTRY, APPLIED Molecular Diversity Pub Date : 2023-06-20 DOI:10.1007/s11030-023-10658-y
Gideon Ampoma Gyebi, Oludare M. Ogunyemi, Ibrahim M. Ibrahim, Olalekan B. Ogunro, Saheed O. Afolabi, Rotimi J. Ojo, Gabriel O. Anyanwu, Gaber El-Saber Batiha, Joseph O. Adebayo
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引用次数: 0

摘要

神经退行性疾病(NDDs)与脑乙酰胆碱酯酶(AChE)、丁酰胆碱酯酶(BChE)和β-分泌酶(BACE1)活性增加有关。抑制这些酶为治疗阿尔茨海默病(AD)和帕金森病(PD)等非传染性疾病提供了治疗选择。尽管Gongronema latifolium Benth(GL)在民族药理学和科学报告中被广泛记载用于治疗非传染性疾病,但有关其基本机制和神经治疗成分的信息却很少。在此,研究人员利用分子对接、分子动力学(MD)模拟、结合自由能计算和聚类分析等方法,筛选了152种之前报道过的花叶贡菊衍生植物化学物质(GLDP)与hAChE、hBChE和hBACE-1的相互作用。计算分析结果表明,与参考抑制剂(多奈哌齐、丙吡啶和氨基喹啉化合物分别为-12.3、-9.8和-9.4)相比,水飞蓟素、α-amyrin 和 teraxeron 与 hAChE、hBChE 和 hBACE-1 的结合能最高(分别为-12.3、-11.2 和-10.5 Kcal/mol)。研究发现,这些对接效果最好的植物化学物质位于疏水峡谷中,与胆碱酯酶 A 位点和 P 位点的胆碱结合口袋以及 BACE-1 口袋中的 S1、S3、S3'和翻转(67-75)残基相互作用。在 100 ns 的分子动力学模拟中,与目标蛋白复合的最佳对接植物化学物质是稳定的。从 MMGBSA 分解和聚类分析中观察到,在模拟过程中与催化残基的相互作用得以保留。这些植物化合物中最突出的是水飞蓟素,它与两种胆碱酯酶都有很高的结合率,被认为是潜在的神经治疗药物,有待进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Identification of potential inhibitors of cholinergic and β-secretase enzymes from phytochemicals derived from Gongronema latifolium Benth leaf: an integrated computational analysis

Neurodegenerative disorders (NDDs) are associated with increased activities of the brain acetylcholinesterase (AChE), butyrylcholinesterase (BChE) and β-secretase enzyme (BACE1). Inhibition of these enzymes affords therapeutic option for managing NDDs such as Alzheimer’s disease (AD) and Parkinson’s disease (PD). Although, Gongronema latifolium Benth (GL) has been widely documented in ethnopharmacological and scientific reports for the management of NDDs, there is paucity of information on its underlying mechanism and neurotherapeutic constituents. Herein, 152 previously reported Gongronema latifolium derived-phytochemicals (GLDP) were screened against hAChE, hBChE and hBACE-1 using molecular docking, molecular dynamics (MD) simulations, free energy of binding calculations and cluster analysis. The result of the computational analysis identified silymarin, alpha-amyrin and teraxeron with the highest binding energies (-12.3, -11.2, -10.5 Kcal/mol) for hAChE, hBChE and hBACE-1 respectively as compared with those of the reference inhibitors (-12.3, -9.8 and − 9.4 for donepezil, propidium and aminoquinoline compound respectively). These best docked phytochemicals were found to be orientated in the hydrophobic gorge where they interacted with the choline-binding pocket in the A-site and P-site of the cholinesterase and subsites S1, S3, S3’ and flip (67–75) residues of the pocket of the BACE-1. The best docked phytochemicals complexed with the target proteins were stable in a 100 ns molecular dynamic simulation. The interactions with the catalytic residues were preserved during the simulation as observed from the MMGBSA decomposition and cluster analyses. The presence of these phytocompounds most notably silymarin, which demonstrated dual high binding tendencies to both cholinesterases, were identified as potential neurotherapeutics subject to further investigation.

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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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