Computational Exploration of Berberis lycium Royle: A Hidden Treasure Trove for Antiviral Development.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2024-07-27 eCollection Date: 2024-01-01 DOI:10.1177/11779322241264144
Mamuna Mukhtar, Haris Ahmed Khan, Tope Abraham Ibisanmi, Ayodele Ifeoluwa Faleti, Najam Us Sahar Sadaf Zaidi
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Abstract

Viral infections and associated illnesses account for approximately 3.5 million global fatalities and public health problems. Medicinal plants, with their wide therapeutic range and minimal side effects, have gained limelight particularly in response to growing concerns about drug resistance and sluggish development of antiviral drugs. This study computationally assessed 11 chemical compounds from Berberis lycium along with two antiviral drugs to inhibit SARS CoV 2 (coronavirus disease 2019 [COVID-19]) RNA-dependent RNA polymerase (RdRP), influenza virus RdRP, and two crucial dengue virus (DENV) enzymes (NS2B/NS3 protease and NS5 polymerase). Berberine and oxyberberine passed all pharmacokinetics analysis filters including Lipinski rule, blood-brain barrier permeant, and cytochrome suppression and demonstrated drug-likeness, bioavailability, and a non-toxic profile. Docking of phytochemicals from B lycium returned promising results with selected viral proteins, ie, DENV NS2BNS3 (punjabine -10.9 kcal/mol), DENV NS5 (punjabine -10.4 kcal/mol), COVID-19 RdRP (oxyacanthine -9.5 kcal/mol), and influenza RdRP (punjabine -10.4 kcal/mol). The optimal pharmacokinetics of berberine exhibited good binding energies with NS2BNS3 (-8.0 kcal/mol), NS5 (-8.3 kcal/mol), COVID RdRP (-7.7 kcal/mol), and influenza RdRP (-8.3 kcal/mol), while molecular dynamics simulation of a 50-ns time scale by GROMACS software package provided insights into the flexibility and stability of the complexes. A hidden treasure trove for antiviral research, berberine, berbamine, berbamunine, oxyberberine, oxyacanthine, baluchistanamine, and sindamine has showed encouraging findings as possible lead compounds. Pharmacological analyses provide credence for the proposed study; nevertheless, as the antiviral mechanisms of action of these phytochemicals are not well understood, additional research and clinical trials are required to demonstrate both their efficacy and toxicity through in vitro and in vivo studies.

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罗伊尔小檗的计算探索:抗病毒开发的隐藏宝库。
全球约有 350 万人死于病毒感染和相关疾病,公共卫生问题也随之而来。药用植物具有治疗范围广、副作用小的特点,尤其是在抗病毒药物耐药性问题日益严重、抗病毒药物开发迟缓的情况下,药用植物备受瞩目。本研究通过计算评估了小檗中的 11 种化学物质以及两种抗病毒药物对 SARS CoV 2(冠状病毒病 2019 [COVID-19])RNA 依赖性 RNA 聚合酶(RdRP)、流感病毒 RdRP 和登革热病毒(DENV)两种关键酶(NS2B/NS3 蛋白酶和 NS5 聚合酶)的抑制作用。小檗碱和氧小檗碱通过了所有药代动力学分析筛选,包括利宾斯基规则、血脑屏障渗透性和细胞色素抑制,并显示出药物相似性、生物利用度和无毒性特征。从枸杞中提取的植物化学物质与某些病毒蛋白的对接结果很好,如 DENV NS2BNS3(punjabine -10.9 kcal/mol)、DENV NS5(punjabine -10.4 kcal/mol)、COVID-19 RdRP(oxyacanthine -9.5 kcal/mol)和流感 RdRP(punjabine -10.4 kcal/mol)。小檗碱的最佳药代动力学表现出与 NS2BNS3(-8.0 kcal/mol)、NS5(-8.3 kcal/mol)、COVID RdRP(-7.7 kcal/mol)和流感 RdRP(-8.3 kcal/mol)良好的结合能,而利用 GROMACS 软件包进行的 50-ns 时间尺度分子动力学模拟则让人们深入了解了复合物的灵活性和稳定性。小檗碱、小檗胺、小檗宁、氧小檗碱、氧黄嘌呤、俾路支斯坦胺和信达明是抗病毒研究的隐藏宝库,作为可能的先导化合物,它们的研究结果令人鼓舞。药理分析为拟议的研究提供了依据;然而,由于这些植物化学物质的抗病毒作用机制尚不十分清楚,因此需要进行更多的研究和临床试验,通过体外和体内研究来证明它们的功效和毒性。
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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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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