Literature DB >> 25918819

Dissecting traditional Chinese medicines by omics and bioinformatics.

Yuan Quan, Zhong-Yi Wang, Min Xiong, Zheng-Tao Xiao, Hong-Yu Zhang.   

Abstract

Traditional Chinese medicines (TCM) are a rich source of potential leads for drug development. However, there are fundamental differences between traditional Chinese medical concepts and modern pharmacology, which greatly hinder the modern development of TCM. To address this challenge, new techniques associated with genomics, transcriptomics, proteomics, metabolomics and bioinformatics have been used to dissect the pharmacological mechanisms of TCM. This review article provides an overview of the current research in this area, and illustrates the potential of omic and bioinformatic methods in TCM-based drug discovery.

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Year:  2014        PMID: 25918819

Source DB:  PubMed          Journal:  Nat Prod Commun        ISSN: 1555-9475            Impact factor:   0.986


  5 in total

1.  Identification of potential inhibitory analogs of metastasis tumor antigens (MTAs) using bioactive compounds: revealing therapeutic option to prevent malignancy.

Authors:  Anik Banik; Sheikh Rashel Ahmed; Emran Hossain Sajib; Anamika Deb; Shiuly Sinha; Kazi Faizul Azim
Journal:  Mol Divers       Date:  2021-11-07       Impact factor: 3.364

2.  Elucidating pharmacological mechanisms of natural medicines by biclustering analysis of the gene expression profile: a case study on curcumin and Si-Wu-Tang.

Authors:  Yuan Quan; Bin Li; You-Min Sun; Hong-Yu Zhang
Journal:  Int J Mol Sci       Date:  2014-12-29       Impact factor: 5.923

Review 3.  The antitumor effects of geraniol: Modulation of cancer hallmark pathways (Review).

Authors:  Minsoo Cho; Insuk So; Jung Nyeo Chun; Ju-Hong Jeon
Journal:  Int J Oncol       Date:  2016-03-09       Impact factor: 5.650

4.  Multifactorial Modes of Action of Arsenic Trioxide in Cancer Cells as Analyzed by Classical and Network Pharmacology.

Authors:  Mona Dawood; Sami Hamdoun; Thomas Efferth
Journal:  Front Pharmacol       Date:  2018-02-27       Impact factor: 5.810

5.  Metabolic Response in Rats following Electroacupuncture or Moxibustion Stimulation.

Authors:  Jingjing Xu; Xianwei Lin; Kian-Kai Cheng; Huan Zhong; Mi Liu; Guoshan Zhang; Guiping Shen; Jiyang Dong
Journal:  Evid Based Complement Alternat Med       Date:  2019-05-02       Impact factor: 2.629

  5 in total

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