Literature DB >> 12964838

Can an in silico drug-target search method be used to probe potential mechanisms of medicinal plant ingredients?

Xin Chen1, Choong Yong Ung, Yuzong Chen.   

Abstract

Medicinal plants have been explored therapeutically in traditional medicines and are a valuable source for drug discovery. Insufficient knowledge about the molecular mechanism of these medicinal plants limits the scope of their application and hinders the effort to design new drugs using the therapeutic principles of herbal medicines. This problem can be partially alleviated if efficient methods for rapid identification of protein targets of herbal ingredients can be introduced. Efforts have been directed at developing efficient computer methods for facilitating target identification. Various methods being explored or under investigation are reviewed here. So far, one computer method, INVDOCK, has been specifically used for automated drug target identification. Its usefulness in the identification of therapeutic targets of medicinal herbal ingredients as well as synthetic chemicals is reviewed. The majority of INVDOCK identified therapeutic targets of several well-known medicinal herbal ingredients have been found to be confirmed or implicated by experiments, which suggests the potential of in silico methods in facilitating the study of molecular mechanism of medicinal plants.

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Year:  2003        PMID: 12964838     DOI: 10.1039/b303745b

Source DB:  PubMed          Journal:  Nat Prod Rep        ISSN: 0265-0568            Impact factor:   13.423


  14 in total

1.  Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation.

Authors:  X Chen; H Zhou; Y B Liu; J F Wang; H Li; C Y Ung; L Y Han; Z W Cao; Y Z Chen
Journal:  Br J Pharmacol       Date:  2006-11-06       Impact factor: 8.739

2.  TarFisDock: a web server for identifying drug targets with docking approach.

Authors:  Honglin Li; Zhenting Gao; Ling Kang; Hailei Zhang; Kun Yang; Kunqian Yu; Xiaomin Luo; Weiliang Zhu; Kaixian Chen; Jianhua Shen; Xicheng Wang; Hualiang Jiang
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

3.  In silico studies for the interaction of tumor necrosis factor-alpha (TNF-α) with different saponins from Vietnamese ginseng (Panax vietnamesis).

Authors:  Oanh T P Kim; Manh D Le; Hoang X Trinh; Hai V Nong
Journal:  Biophys Physicobiol       Date:  2016-07-14

4.  Global Mapping of Traditional Chinese Medicine into Bioactivity Space and Pathways Annotation Improves Mechanistic Understanding and Discovers Relationships between Therapeutic Action (Sub)classes.

Authors:  Siti Zuraidah Mohamad Zobir; Fazlin Mohd Fauzi; Sonia Liggi; Georgios Drakakis; Xianjun Fu; Tai-Ping Fan; Andreas Bender
Journal:  Evid Based Complement Alternat Med       Date:  2016-02-18       Impact factor: 2.629

Review 5.  Isoflavones, their Glycosides and Glycoconjugates. Synthesis and Biological Activity.

Authors:  Wiesław Szeja; Grzegorz Grynkiewicz; Aleksandra Rusin
Journal:  Curr Org Chem       Date:  2017-01       Impact factor: 2.180

6.  The scoring bias in reverse docking and the score normalization strategy to improve success rate of target fishing.

Authors:  Qiyao Luo; Liang Zhao; Jianxing Hu; Hongwei Jin; Zhenming Liu; Liangren Zhang
Journal:  PLoS One       Date:  2017-02-14       Impact factor: 3.240

7.  Target prediction utilising negative bioactivity data covering large chemical space.

Authors:  Lewis H Mervin; Avid M Afzal; Georgios Drakakis; Richard Lewis; Ola Engkvist; Andreas Bender
Journal:  J Cheminform       Date:  2015-10-24       Impact factor: 5.514

8.  In Silico target fishing: addressing a "Big Data" problem by ligand-based similarity rankings with data fusion.

Authors:  Xian Liu; Yuan Xu; Shanshan Li; Yulan Wang; Jianlong Peng; Cheng Luo; Xiaomin Luo; Mingyue Zheng; Kaixian Chen; Hualiang Jiang
Journal:  J Cheminform       Date:  2014-06-18       Impact factor: 5.514

9.  NPASS: natural product activity and species source database for natural product research, discovery and tool development.

Authors:  Xian Zeng; Peng Zhang; Weidong He; Chu Qin; Shangying Chen; Lin Tao; Yali Wang; Ying Tan; Dan Gao; Bohua Wang; Zhe Chen; Weiping Chen; Yu Yang Jiang; Yu Zong Chen
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

10.  Using reverse docking to identify potential targets for ginsenosides.

Authors:  Kichul Park; Art E Cho
Journal:  J Ginseng Res       Date:  2016-11-10       Impact factor: 6.060

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