Literature DB >> 23986228

Understanding molecular mechanisms of traditional Chinese medicine for the treatment of influenza viruses infection by computational approaches.

Shuo Gu1, Ning Yin, Jianfeng Pei, Luhua Lai.   

Abstract

The battle against influenza is an enduring one. For hundreds of years, people have fought such small viruses with practices such as traditional Chinese medicine (TCM), however only recently has it been possible to use cutting-edge technology to investigate their mechanisms. Here, we re-created this ancient Chinese knowledge to explore the chemistry of herbs and elucidate their mechanism of action using molecular computational methods. Our results show that TCM compounds can inhibit influenza viral proteins in a multi-target/multi-component manner, revealing the versatility of TCM for treating different influenza virus subtypes, including the recently emerged H7N9.

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Year:  2013        PMID: 23986228     DOI: 10.1039/c3mb70268e

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  10 in total

1.  Inhibitory effects and related molecular mechanisms of total flavonoids in Mosla chinensis Maxim against H1N1 influenza virus.

Authors:  Xiao-Xia Zhang; Qiao-Feng Wu; Yun-Liang Yan; Feng-Ling Zhang
Journal:  Inflamm Res       Date:  2017-11-24       Impact factor: 4.575

2.  Toxicological evaluation of aqueous extract of the traditional Chinese formula Qing Hao Gan Cao.

Authors:  Yongchun Li; Hui Zhang; Shanshan Chen; Liutao Zhao; Jie Wu; Pan Li; Guanlian Wu; Qing Wang; Chunli Wu; Hongde Xu
Journal:  Toxicol Res (Camb)       Date:  2021-02-15       Impact factor: 3.524

3.  Anti-NDV activity of baicalin from a traditional Chinese medicine in vitro.

Authors:  Yan Jia; Ruiguang Xu; Yanchun Hu; Tianlong Zhu; Tingting Ma; Haihong Wu; Liwen Hu
Journal:  J Vet Med Sci       Date:  2016-02-20       Impact factor: 1.267

4.  Economic burden and its associated factors of hospitalized patients infected with A (H7N9) virus: a retrospective study in Eastern China, 2013-2014.

Authors:  Xiang Huo; Li-Ling Chen; Lei Hong; Lun-Hui Xiang; Fen-Yang Tang; Shan-Hui Chen; Qiang Gao; Cong Chen; Qi-Gang Dai; Chuan-Wu Sun; Ke Xu; Wen-Jun Dai; Xian Qi; Chang-Cheng Li; Hui-Yan Yu; Yin Zhou; Hao-Di Huang; Xing-Yang Pan; Chang-Sha Xu; Ming-Hao Zhou; Chang-Jun Bao
Journal:  Infect Dis Poverty       Date:  2016-09-01       Impact factor: 4.520

5.  Herb-target interaction network analysis helps to disclose molecular mechanism of traditional Chinese medicine.

Authors:  Hao Liang; Hao Ruan; Qi Ouyang; Luhua Lai
Journal:  Sci Rep       Date:  2016-11-11       Impact factor: 4.379

Review 6.  Chinese Herbal Medicine Meets Biological Networks of Complex Diseases: A Computational Perspective.

Authors:  Shuo Gu; Jianfeng Pei
Journal:  Evid Based Complement Alternat Med       Date:  2017-06-11       Impact factor: 2.629

7.  Associating 197 Chinese herbal medicine with drug targets and diseases using the similarity ensemble approach.

Authors:  Shuo Gu; Lu-Hua Lai
Journal:  Acta Pharmacol Sin       Date:  2019-09-17       Impact factor: 6.150

8.  Innovating Chinese Herbal Medicine: From Traditional Health Practice to Scientific Drug Discovery.

Authors:  Shuo Gu; Jianfeng Pei
Journal:  Front Pharmacol       Date:  2017-06-16       Impact factor: 5.810

9.  Understanding molecular mechanisms of Rhodiola rosea for the treatment of acute mountain sickness through computational approaches (a STROBE-compliant article).

Authors:  Zi-Liang Liang; Xu-Yi Zhang; Fan Wang; Kai Zhang; Hai-Feng Liu; Hui-Liang Liu
Journal:  Medicine (Baltimore)       Date:  2018-09       Impact factor: 1.889

10.  Discovery of Multitarget-Directed Ligands Against Influenza A Virus From Compound Yizhihao Through a Predictive System for Compound-Protein Interactions.

Authors:  Lvjie Xu; Wen Jiang; Hao Jia; Lishu Zheng; Jianguo Xing; Ailin Liu; Guanhua Du
Journal:  Front Cell Infect Microbiol       Date:  2020-02-11       Impact factor: 5.293

  10 in total

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