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用于鉴定针对冠状病毒的非结构蛋白(NSP)16/10复合物的强效天然黄酮类抑制剂的计算研究

Computational Investigations to Identify Potent Natural Flavonoid Inhibitors of the Nonstructural Protein (NSP) 16/10 Complex Against Coronavirus.

作者信息

Tamil Selvan Silambarasan, Ganta Gurupavan Kumar

机构信息

Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University, Chennai, IND.

Biochemistry, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University, Chennai, IND.

出版信息

Cureus. 2024 Aug 29;16(8):e68098. doi: 10.7759/cureus.68098. eCollection 2024 Aug.

DOI:10.7759/cureus.68098
PMID:39347210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11438528/
Abstract

INTRODUCTION

Globally, the viral pandemic has spread rapidly, resulting in widespread infections. The coronavirus family (CoVs) is one of the various viral families capable of infecting mammals, causing diseases related to the gastrointestinal, neurological, and respiratory systems. Flavonoid compounds have been identified as potentially effective antiviral agents, specifically targeting the virus's nonstructural protein (NSP) 16/10. Flavonoids have also been shown to inhibit virus replication and viral attachment to host cells, making them a promising candidate for antiviral treatment. Further research is needed to understand the full potential of flavonoids as antiviral agents.

METHODOLOGY

This study investigated natural compounds derived from medicinal plants using in silico screening. In addition to assessing drug-likeness, pharmacokinetics, docking, molecular dynamics simulation, bioavailability assessment, and exploration of molecular targets, the screening process entailed analyses of molecular targets and bioavailability. The molecular properties and potential antiviral efficacy of these phytochemical candidates were determined by analyzing them as drug candidates. The results of the study showed that these compounds had potential antiviral activity and could be developed as therapeutic agents. Furthermore, the study showed that the compounds had good bioavailability, suggesting that they are suitable for use as therapeutic agents.

RESULT

An in silico method was used to identify flavonoid compounds for potent antiviral drug molecules against the coronavirus protein complex NSP16/10 protein. The NSP16/10 complex protein binding energy values were -6.14 for isoquercetin, -6.902 for narirutin, -6.052 for myricetin, -7.10 for hesperidin, -4.392 for silibinin, -3.997 for baicalein, -3.712 for taxifolin, and -3.321 for petunidin. Molecular dynamics simulations showed that isoquercetin, hesperidin, and narirutin flavonoids interacted with the COVID-19 virus protein complex NSP16/10 protease up to 100 nanoseconds.

摘要

引言

在全球范围内,病毒大流行迅速蔓延,导致广泛感染。冠状病毒科(CoVs)是能够感染哺乳动物的众多病毒科之一,可引发与胃肠道、神经系统和呼吸系统相关的疾病。类黄酮化合物已被确定为潜在有效的抗病毒剂,特别是针对病毒的非结构蛋白(NSP)16/10。类黄酮还被证明可抑制病毒复制以及病毒与宿主细胞的附着,使其成为抗病毒治疗的有希望的候选药物。需要进一步研究以了解类黄酮作为抗病毒剂的全部潜力。

方法

本研究使用计算机模拟筛选法研究了从药用植物中提取的天然化合物。除了评估类药性质、药代动力学、对接、分子动力学模拟、生物利用度评估以及分子靶点探索外,筛选过程还涉及分子靶点和生物利用度分析。通过将这些植物化学候选物作为药物候选物进行分析,确定了它们的分子性质和潜在抗病毒功效。研究结果表明,这些化合物具有潜在的抗病毒活性,可开发为治疗剂。此外,研究表明这些化合物具有良好的生物利用度,表明它们适合用作治疗剂。

结果

使用计算机模拟方法鉴定了针对冠状病毒蛋白复合物NSP16/10蛋白的强效抗病毒药物分子的类黄酮化合物。异槲皮素与NSP16/10复合蛋白的结合能值为-6.14,柚皮苷为-6.902,杨梅素为-6.052,橙皮苷为-7.10,水飞蓟宾为-4.392,黄芩苷为-3.997,紫杉叶素为-3.712,矮牵牛素为-3.321。分子动力学模拟表明,异槲皮素、橙皮苷和柚皮苷类黄酮与COVID-19病毒蛋白复合物NSP16/10蛋白酶相互作用长达100纳秒。

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本文引用的文献

1
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Comput Biol Med. 2023 May;157:106785. doi: 10.1016/j.compbiomed.2023.106785. Epub 2023 Mar 11.
2
approach for identification of natural compounds as potential COVID 19 main protease (M) inhibitors.鉴定天然化合物作为潜在的新型冠状病毒主要蛋白酶(M)抑制剂的方法。
Virusdisease. 2021 Jun;32(2):325-329. doi: 10.1007/s13337-021-00701-7. Epub 2021 Jun 20.
3
In silico screening of potent bioactive compounds from honeybee products against COVID-19 target enzymes.
基于计算机的从蜂蜜产品中筛选针对 COVID-19 靶酶的有效生物活性化合物。
Environ Sci Pollut Res Int. 2021 Aug;28(30):40507-40514. doi: 10.1007/s11356-021-14195-9. Epub 2021 May 2.
4
Mechanisms Modified by (-)-Epicatechin and Taxifolin Relevant for the Treatment of Hypertension and Viral Infection: Knowledge from Preclinical Studies.(-)-表儿茶素和紫杉叶素对高血压和病毒感染治疗的作用机制:来自临床前研究的知识
Antioxidants (Basel). 2021 Mar 16;10(3):467. doi: 10.3390/antiox10030467.
5
Comprehensive mapping of mutations in the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human plasma antibodies.全面绘制影响多克隆人血浆抗体识别的 SARS-CoV-2 受体结合域突变图谱。
Cell Host Microbe. 2021 Mar 10;29(3):463-476.e6. doi: 10.1016/j.chom.2021.02.003. Epub 2021 Feb 8.
6
Molecular docking studies of some selected gallic acid derivatives against five non-structural proteins of novel coronavirus.一些选定的没食子酸衍生物针对新型冠状病毒五种非结构蛋白的分子对接研究
J Genet Eng Biotechnol. 2021 Jan 25;19(1):16. doi: 10.1186/s43141-021-00120-7.
7
Computational Investigation of Structural Dynamics of SARS-CoV-2 Methyltransferase-Stimulatory Factor Heterodimer nsp16/nsp10 Bound to the Cofactor SAM.与辅因子S-腺苷甲硫氨酸(SAM)结合的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)甲基转移酶刺激因子异二聚体nsp16/nsp10结构动力学的计算研究
Front Mol Biosci. 2020 Nov 24;7:590165. doi: 10.3389/fmolb.2020.590165. eCollection 2020.
8
Andrographolide and its fluorescent derivative inhibit the main proteases of 2019-nCoV and SARS-CoV through covalent linkage.穿心莲内酯及其荧光衍生物通过共价键抑制 2019-nCoV 和 SARS-CoV 的主要蛋白酶。
Biochem Biophys Res Commun. 2020 Dec 10;533(3):467-473. doi: 10.1016/j.bbrc.2020.08.086. Epub 2020 Aug 25.
9
Molecular docking, validation, dynamics simulations, and pharmacokinetic prediction of natural compounds against the SARS-CoV-2 main-protease.针对 SARS-CoV-2 主蛋白酶的天然化合物的分子对接、验证、动力学模拟和药代动力学预测。
J Biomol Struct Dyn. 2022 Feb;40(2):585-611. doi: 10.1080/07391102.2020.1815584. Epub 2020 Sep 8.
10
Structural analysis of the SARS-CoV-2 methyltransferase complex involved in RNA cap creation bound to sinefungin.SARS-CoV-2 甲基转移酶复合物结构分析,复合物与 sinefungin 结合参与 RNA 帽结构生成。
Nat Commun. 2020 Jul 24;11(1):3717. doi: 10.1038/s41467-020-17495-9.