探索缬草治疗阿尔茨海默病的多靶点效应:网络药理学方法

IF 2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY
Vishnu Malakar, SP Dhanabal, Antony Justin, Dhritiman Roy, Kamal Kant, Rafa Almeer, Kavya S. Keremane, Chandi C. Malakar
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引用次数: 0

摘要

阿尔茨海默病(AD)的特征是tau蛋白和淀粉样蛋白-β的积累,这与AD的分子机制有关。缬草(Valeriana officinalis, VO)是一种多年生草本植物,属于辣椒科。这种植物的根和根茎含有生物碱、类黄酮和苷类物质,这些物质对阿尔茨海默病具有神经保护作用。为了确定这些植物成分的分子靶点和抗阿尔茨海默病的特性,采用了网络药理学和计算机方法。该方法利用药代动力学和药理学数据分析和阐明VO抗阿尔茨海默病的机制。本研究共鉴定出91种植物成分,发现AD与VO的共同靶点231个。我们选择了前5个靶点AKT1, Bcl2, IL-1B, IL6和STAT3基于程度,接近度和中间性中心性测量。我们进一步进行了高通量虚拟筛选(HTVS)、标准精度(SP)对接、额外精度(XP)对接、MMGBSA计算和ADMET分析,以确定有效的植物成分。两个化合物CID10930和CID442550成为分子动力学模拟的有希望的候选者。这些化合物通过与重要氨基酸Glu228、Ala230、Glu234和Glu278形成氢键抑制AKT1。具体来说,植物成分的苯基环和锕系环的羰基和羟基部分在这些相互作用中起着至关重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring the Multi-Target Effects of Valeriana officinalis in Alzheimer's Disease: a Network Pharmacology Approach

Exploring the Multi-Target Effects of Valeriana officinalis in Alzheimer's Disease: a Network Pharmacology Approach

Exploring the Multi-Target Effects of Valeriana officinalis in Alzheimer's Disease: a Network Pharmacology Approach

Exploring the Multi-Target Effects of Valeriana officinalis in Alzheimer's Disease: a Network Pharmacology Approach

Exploring the Multi-Target Effects of Valeriana officinalis in Alzheimer's Disease: a Network Pharmacology Approach

Alzheimer's disease (AD) is characterized by tau protein and amyloid-β buildup, which are linked to the molecular mechanisms underlying AD. Valeriana officinalis (VO) is a perennial herb that belongs to Caprifoliaceae family. The roots and rhizomes of this plant contain alkaloids, flavonoids, and glycosides, which are known for their neuroprotective effects in AD. To identify the molecular targets and anti-Alzheimer's properties of these phytoconstituents, a network pharmacology and in silico approach was employed. This method utilized pharmacokinetic and pharmacological data to analyze and elucidate anti-Alzheimer's mechanisms of VO. This research article identified 91 phytoconstituents and found 231 common targets between AD and VO. We selected the top 5 targets AKT1, Bcl2, IL-1B, IL6, and STAT3 based on degree, closeness, and betweenness centrality measures. We further conducted high-throughput virtual screening (HTVS), standard precision (SP) docking, extra precision (XP) docking, MMGBSA calculations, and ADMET analysis to identify potent phytoconstituents. Two compounds, CID10930 and CID442550, emerged as promising candidates for molecular dynamics simulations. These compounds were found to inhibit AKT1 by forming hydrogen bonds with vital amino acids Glu228, Ala230, Glu234, and Glu278. Specifically, the carbonyl and hydroxyl moieties of the phenyl ring and actinidine ring of the phytoconstituents played crucial roles in these interactions.

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来源期刊
ChemistrySelect
ChemistrySelect Chemistry-General Chemistry
CiteScore
3.30
自引率
4.80%
发文量
1809
审稿时长
1.6 months
期刊介绍: ChemistrySelect is the latest journal from ChemPubSoc Europe and Wiley-VCH. It offers researchers a quality society-owned journal in which to publish their work in all areas of chemistry. Manuscripts are evaluated by active researchers to ensure they add meaningfully to the scientific literature, and those accepted are processed quickly to ensure rapid online publication.
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