Computational Analysis of Bacopa monnieri (L.) Wettst. Compounds for Drug Development against Neurodegenerative Disorders.

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Current computer-aided drug design Pub Date : 2023-01-01 DOI:10.2174/1573409918666221010103652
Satyam Sangeet, Arshad Khan, Saurov Mahanta, Nabamita Roy, Sanjib Kumar Das, Yugal Kishore Mohanta, Muthupandian Saravanan, Hui Tag, Pallabi Kalita Hui
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引用次数: 3

Abstract

Aim: With several experimental studies establishing the role of Bacopa monnieri as an effective neurological medication, less focus has been employed to explore how effectively Bacopa monnieri brings about this property. The current work focuses on understanding the molecular interaction of the phytochemicals of the plant against different neurotrophic factors to explore their role and potential as potent anti-neurodegenerative drugs.

Background: Neurotrophins play a crucial role in the development and regulation of neurons. Alterations in the functioning of these Neurotrophins lead to several Neurodegenerative Disorders. Albeit engineered medications are accessible for the treatment of Neurodegenerative Disorders, due to their numerous side effects, it becomes imperative to formulate and synthesize novel drug candidates.

Objective: This study aims to investigate the potential of Bacopa monnieri phytochemicals as potent antineurodegenerative drugs by inspecting the interactions between Neurotrophins and target proteins.

Methods: The current study employs molecular docking and molecular dynamic simulation studies to examine the molecular interactions of phytochemicals with respective Neurotrophins. Further inspection of the screened phytochemicals was performed to analyze the ADME-Tox properties in order to classify the screened phytochemicals as potent drug candidates.

Results: The phytochemicals of Bacopa monnieri were subjected to in-silico docking with the respective Neurotrophins. Vitamin E, Benzene propanoic acid, 3,5-bis (1,1- dimethylethyl)- 4hydroxy-, methyl ester (BPA), Stigmasterol, and Nonacosane showed an excellent binding affinity with their respective Neurotrophins (BDNF, NT3, NT4, NGF). Moreover, the molecular dynamic simulation studies revealed that BPA and Stigmasterol show a very stable interaction with NT3 and NT4, respectively, suggesting their potential role as a drug candidate. Nonacosane exhibited a fluctuating binding behavior with NGF which can be accounted for by its long linear structure. ADME-Tox studies further confirmed the potency of these phytochemicals as BPA violated no factors and Vitamin E, Stigmasterol and Nonacosane violated 1 factor for Lipinski's rule. Moreover, their high human intestinal absorption and bioavailability score along with their classification as non-mutagen in the Ames test makes these compounds more reliable as potent antineurodegenerative drugs.

Conclusion: Our study provides an in-silico approach toward understanding the anti-neurodegenerative property of Bacopa monnieri phytochemicals and establishes the role of four major phytochemicals which can be utilized as a replacement for synthetic drugs against several neurodegenerative disorders.

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假马齿苋(Bacopa monnieri)的计算分析Wettst。用于神经退行性疾病药物开发的化合物。
目的:随着一些实验研究确定假马齿苋作为一种有效的神经系统药物的作用,很少有人关注假马齿苋如何有效地发挥这一特性。目前的工作重点是了解植物的植物化学物质对不同神经营养因子的分子相互作用,以探索其作为有效的抗神经退行性药物的作用和潜力。背景:神经营养因子在神经元的发育和调控中起着至关重要的作用。这些神经营养因子功能的改变可导致几种神经退行性疾病。尽管工程药物可用于治疗神经退行性疾病,但由于其众多的副作用,制定和合成新的候选药物变得势在必行。目的:通过观察假马齿苋中神经营养因子与靶蛋白的相互作用,探讨假马齿苋植物化学物质作为抗神经退行性药物的潜力。方法:采用分子对接和分子动力学模拟研究方法,研究植物化学物质与神经营养因子的分子相互作用。对筛选的植物化学物质进行进一步检查,分析ADME-Tox的性质,以便将筛选的植物化学物质分类为有效的候选药物。结果:假马齿苋的植物化学物质与相应的神经营养因子进行了硅对接。维生素E、苯丙酸、3,5-双(1,1-二甲基乙基)- 4羟基、甲酯(BPA)、豆甾醇和壬烷与各自的神经营养因子(BDNF、NT3、NT4、NGF)具有良好的结合亲和力。此外,分子动力学模拟研究表明,BPA和豆甾醇分别与NT3和NT4表现出非常稳定的相互作用,表明它们具有潜在的候选药物作用。壬烷醚与NGF的结合表现出波动的行为,这可以通过其长线性结构来解释。ADME-Tox研究进一步证实了这些植物化学物质的效力,因为BPA不违反任何因素,维生素E、豆甾醇和壬烷不违反利平斯基规则的一个因素。此外,它们的高人体肠道吸收和生物利用度评分,以及它们在Ames试验中被归类为非诱变原,使这些化合物更可靠地作为有效的抗神经退行性药物。结论:本研究为了解假马齿苋植物化学物质的抗神经退行性疾病特性提供了一种计算机方法,并确定了四种主要植物化学物质可替代合成药物治疗几种神经退行性疾病的作用。
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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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