Molecular Insights on Bioactive Compounds against Covid-19: A Network Pharmacological and Computational Study

IF 17.7 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-01-01 DOI:10.2174/1573409918666220914092145
Jayanth Jeevanandam, Esackimuthu Paramasivam, Anbumathi Palanisamy, Srikanth Ragavendran, Saraswathi Nambiappan Thangavel
{"title":"Molecular Insights on Bioactive Compounds against Covid-19: A Network Pharmacological and Computational Study","authors":"Jayanth Jeevanandam, Esackimuthu Paramasivam, Anbumathi Palanisamy, Srikanth Ragavendran, Saraswathi Nambiappan Thangavel","doi":"10.2174/1573409918666220914092145","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Network pharmacology based identification of phytochemicals in the form of cocktails against off-targets can play a significant role in the inhibition of SARS_CoV2 viral entry and its propagation. This study includes network pharmacology, virtual screening, docking and molecular dynamics to investigate the distinct antiviral mechanisms of effective phytochemicals against SARS_CoV2.</p><p><strong>Methods: </strong>SARS_CoV2 human-protein interaction network was explored from the BioGRID database and analysed using Cytoscape. Further analysis was performed to explore biological function, proteinphytochemical/ drugs network and up-down regulation of pathological host target proteins. This led to understand the antiviral mechanism of phytochemicals against SARS_CoV2. The network was explored through g: Profiler, EnrichR, CTD, SwissTarget, STITCH, DrugBank, BindingDB, STRING and SuperPred. Virtual screening of phytochemicals against potential antiviral targets such as M-Pro, NSP1, Receptor binding domain, RNA binding domain, and ACE2 discloses the effective interaction between them. Further, the binding energy calculations through simulation of the docked complex explain the efficiency and stability of the interactions.</p><p><strong>Results: </strong>The network analysis identified quercetin, genistein, luteolin, eugenol, berberine, isorhamnetin and cinnamaldehyde to be interacting with host proteins ACE2, DPP4, COMT, TUBGCP3, CENPF, BRD2 and HMOX1 which are involved in antiviral mechanisms such as viral entry, viral replication, host immune response, and antioxidant activity, thus indicating that herbal cocktails can effectively tackle the viral hijacking of the crucial biological functions of a human host. Further exploration through virtual screening, docking and molecular dynamics recognizes the effective interaction of phytochemicals such as punicalagin, scutellarin, and solamargine with their respective potential targets.</p><p><strong>Conclusion: </strong>This work illustrates a probable strategy for the identification of phytochemical-based cocktails and off-targets which are effective against SARS_CoV 2.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":" ","pages":"425-439"},"PeriodicalIF":17.7000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.2174/1573409918666220914092145","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Network pharmacology based identification of phytochemicals in the form of cocktails against off-targets can play a significant role in the inhibition of SARS_CoV2 viral entry and its propagation. This study includes network pharmacology, virtual screening, docking and molecular dynamics to investigate the distinct antiviral mechanisms of effective phytochemicals against SARS_CoV2.

Methods: SARS_CoV2 human-protein interaction network was explored from the BioGRID database and analysed using Cytoscape. Further analysis was performed to explore biological function, proteinphytochemical/ drugs network and up-down regulation of pathological host target proteins. This led to understand the antiviral mechanism of phytochemicals against SARS_CoV2. The network was explored through g: Profiler, EnrichR, CTD, SwissTarget, STITCH, DrugBank, BindingDB, STRING and SuperPred. Virtual screening of phytochemicals against potential antiviral targets such as M-Pro, NSP1, Receptor binding domain, RNA binding domain, and ACE2 discloses the effective interaction between them. Further, the binding energy calculations through simulation of the docked complex explain the efficiency and stability of the interactions.

Results: The network analysis identified quercetin, genistein, luteolin, eugenol, berberine, isorhamnetin and cinnamaldehyde to be interacting with host proteins ACE2, DPP4, COMT, TUBGCP3, CENPF, BRD2 and HMOX1 which are involved in antiviral mechanisms such as viral entry, viral replication, host immune response, and antioxidant activity, thus indicating that herbal cocktails can effectively tackle the viral hijacking of the crucial biological functions of a human host. Further exploration through virtual screening, docking and molecular dynamics recognizes the effective interaction of phytochemicals such as punicalagin, scutellarin, and solamargine with their respective potential targets.

Conclusion: This work illustrates a probable strategy for the identification of phytochemical-based cocktails and off-targets which are effective against SARS_CoV 2.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
针对 Covid-19 的生物活性化合物的分子见解:网络药理学和计算研究
背景:以网络药理学为基础,以鸡尾酒形式鉴定针对非靶点的植物化学物质,可在抑制SARS_CoV2病毒进入和传播方面发挥重要作用。这项研究包括网络药理学、虚拟筛选、对接和分子动力学,以研究有效的植物化学物质对 SARS_CoV2 的不同抗病毒机制:方法:从 BioGRID 数据库中探索 SARS_CoV2 人-蛋白相互作用网络,并使用 Cytoscape 进行分析。方法:从 BioGRID 数据库中探索了 SARS_CoV2 的人-蛋白相互作用网络,并使用 Cytoscape 进行了分析,进一步分析了生物功能、蛋白-植物化学物/药物网络以及病理宿主靶蛋白的上下调节。这有助于了解植物化学物质对 SARS_CoV2 的抗病毒机制。该网络通过 g:Profiler、EnrichR、CTD、SwissTarget、STITCH、DrugBank、BindingDB、STRING 和 SuperPred 进行了探索。针对潜在的抗病毒靶标,如 M-Pro、NSP1、受体结合域、RNA 结合域和 ACE2,对植物化学物质进行虚拟筛选,发现它们之间存在有效的相互作用。此外,通过模拟对接复合物的结合能计算,解释了相互作用的效率和稳定性:网络分析发现槲皮素、染料木素、木犀草素、丁香酚、小檗碱、异鼠李素和肉桂醛与宿主蛋白 ACE2、DPP4、COMT、TUBGCP3、CENPF、BRD2 和 HMOX1 相互作用,这些蛋白参与了病毒进入、病毒复制、宿主免疫反应和抗氧化活性等抗病毒机制。这表明草药鸡尾酒能有效解决病毒劫持人体宿主关键生物功能的问题。通过虚拟筛选、对接和分子动力学等方法进行的进一步探索,确认了植物化学物质(如 punicalagin、scutellarin 和 solamargine)与各自潜在靶点之间的有效相互作用:这项工作说明了鉴定植物化学物质鸡尾酒和有效抗击 SARS_CoV 2 的非靶点的可能策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
期刊最新文献
Photon Management in Photochemical Synthesis and Reactor Scale-Up. Manifestations of Boron-Alkali Metal and Boron-Alkaline-Earth Metal Romances Issue Publication Information Issue Editorial Masthead Mapping and Rewiring Biology via Proximity Induction
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1