基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
Background:Since the emergence of coronavirus disease 2019 to date, there is no available approved drug or definitive treatment for coronavirus disease 2019 viral infection, and the identification of novel hits against therapeutic targets has become a global emergency. Echinacea purpurea is a traditional herb utilized to treat cough, fever, sore throat, respiratory tract infection, and so on as an immune stimulant. In this study, in silico molecular docking approach was used to screen phytocompounds from E. purpurea against severe acute respiratory syndrome coronavirus 2 main protease 3C-like protease (3CLpro) and severe acute respiratory syndrome coronavirus main peptidase (96%sequence similarity) to blunt the viral gene expression and viral replication. Methods:Initially, we screened phytocompounds for their druggability and ADMET property. Furthermore, x-ray crystallographic structures of main proteases 3CLpro and main peptidase having Protein Data Bank ID 6LU7 and 2GTB were used as protein targets for the identification of potential drug candidates. We performed docking using AutoDock Vina by PyRx 0.8 software. BIOVIA Discovery Studio Visualizer v2019 was used to analyze ligand-protein complex. The probable protein targets of the selected compound were predicted by BindingDB (P ≥ 0.7). STRING and Kyoto Encyclopedia of Genes and Genomes pathways are utilized to identify the molecular pathways modulated by the predicted targets (FDR ≤ 0.05), and the network interaction between compounds and protein pathways was constructed by Cytoscape 3.6.1. Results:Among all the compounds, chlorogenic acid showed druggable characteristics and scored the lowest binding energy with main protease and main peptidase via interacting with active site 1 domain amino acid residues. Interestingly, chlorogenic acid interacted with Phe140 main protease 3CLpro, which is potentially involved in the dimerization. Enrichment analysis identified chlorogenic acid to modulate insulin resistance, necroptosis, interleukin-17, tumor necrosis factor signaling pathway, legionellosis, T helper 17 cell differentiation, advanced glycation end products and receptor for advanced glycation end products, mitogen-activated protein kinase, Ras, estrogen, vascular endothelial growth factor, B-cell receptor, nuclear factor kappa B, Rap1, hypoxia inducible factor-1, phosphatidylinositide 3-kinase-Akt, insulin, mechanistic target of rapamycin, p53, retinoic acid inducible gene I like receptor, and ErbB signaling pathways. Conclusion:Chlorogenic acid may act as a potent main protease 3CLpro inhibitor and may also inhibit the severe acute respiratory syndrome coronavirus 2 dimerization, viral gene expression, and replication within the lung epithelium. Chlorogenic acid may go a long way in finding one of the multipronged solutions to tackle coronavirus disease 2019 viral infection in the future.
推荐文章
SARS-CoV-2变异株的遗传学特征和致病特点
SARS病毒
遗传变异
突变
毒力
新型冠状病毒
奥密克戎
合理防治SARS-CoV-2感染的思考
传染病
感染病
COVID-19
预防
治疗
合理
新型冠状病毒SARS-CoV-2感染治疗中的“老药新用”
新型冠状病毒
SARS-CoV-2
抗病毒药物
临床药物
老药新用
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 Chlorogenic acid may be a potent inhibitor of dimeric SARS-CoV-2 main protease 3CLpro:an in silico study
来源期刊 传统医学研究(英文版) 学科
关键词
年,卷(期) 2021,(2) 所属期刊栏目
研究方向 页码范围 135-148
页数 14页 分类号
字数 语种 英文
DOI 10.12032/TMR20201208211
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (27)
共引文献  (0)
参考文献  (26)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
1994(1)
  • 参考文献(1)
  • 二级参考文献(0)
1998(1)
  • 参考文献(1)
  • 二级参考文献(0)
1999(1)
  • 参考文献(1)
  • 二级参考文献(0)
2000(1)
  • 参考文献(0)
  • 二级参考文献(1)
2002(2)
  • 参考文献(2)
  • 二级参考文献(0)
2003(4)
  • 参考文献(2)
  • 二级参考文献(2)
2004(1)
  • 参考文献(1)
  • 二级参考文献(0)
2005(2)
  • 参考文献(1)
  • 二级参考文献(1)
2006(2)
  • 参考文献(2)
  • 二级参考文献(0)
2007(1)
  • 参考文献(0)
  • 二级参考文献(1)
2008(2)
  • 参考文献(1)
  • 二级参考文献(1)
2009(3)
  • 参考文献(1)
  • 二级参考文献(2)
2010(1)
  • 参考文献(0)
  • 二级参考文献(1)
2011(2)
  • 参考文献(1)
  • 二级参考文献(1)
2012(2)
  • 参考文献(2)
  • 二级参考文献(0)
2013(1)
  • 参考文献(0)
  • 二级参考文献(1)
2014(3)
  • 参考文献(1)
  • 二级参考文献(2)
2015(6)
  • 参考文献(2)
  • 二级参考文献(4)
2016(5)
  • 参考文献(2)
  • 二级参考文献(3)
2017(3)
  • 参考文献(1)
  • 二级参考文献(2)
2018(4)
  • 参考文献(0)
  • 二级参考文献(4)
2019(3)
  • 参考文献(2)
  • 二级参考文献(1)
2020(2)
  • 参考文献(2)
  • 二级参考文献(0)
2021(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
引文网络交叉学科
相关学者/机构
期刊影响力
传统医学研究(英文版)
双月刊
2413-3973
天津市河东区大直沽中路108号伯苓大厦2-906
eng
出版文献量(篇)
232
总下载数(次)
3
总被引数(次)
43
论文1v1指导