Literature DB >> 12067089

Computer automated prediction of potential therapeutic and toxicity protein targets of bioactive compounds from Chinese medicinal plants.

Y Z Chen1, C Y Ung.   

Abstract

Understanding the molecular mechanism and pharmacology of bioactive compounds from Chinese medicinal plants (CMP) is important in facilitating scientific evaluation of novel therapeutic approaches in traditional Chinese medicine. It is also of significance in new drug development based on the mechanism of Chinese medicine. A key step towards this task is the determination of the therapeutic and toxicity protein targets of CMP compounds. In this work, newly developed computer software INVDOCK is used for automated identification of potential therapeutic and toxicity targets of several bioactive compounds isolated from Chinese medicinal plants. This software searches a protein database to find proteins to which a CMP compound can bind or weakly bind. INVDOCK results on three CMP compounds (allicin, catechin and camptotecin) show that 60% of computer-identified potential therapeutic protein targets and 27% of computer-identified potential toxicity targets have been implicated or confirmed by experiments. This software may potentially be used as a relatively fast-speed and low-cost tool for facilitating the study of molecular mechanism and pharmacology of bioactive compounds from Chinese medicinal plants and natural products from other sources.

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Year:  2002        PMID: 12067089     DOI: 10.1142/S0192415X02000156

Source DB:  PubMed          Journal:  Am J Chin Med        ISSN: 0192-415X            Impact factor:   4.667


  9 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

Review 2.  Novel paradigms for drug discovery: computational multitarget screening.

Authors:  Ekachai Jenwitheesuk; Jeremy A Horst; Kasey L Rivas; Wesley C Van Voorhis; Ram Samudrala
Journal:  Trends Pharmacol Sci       Date:  2008-01-10       Impact factor: 14.819

Review 3.  Computational polypharmacology: a new paradigm for drug discovery.

Authors:  Rajan Chaudhari; Zhi Tan; Beibei Huang; Shuxing Zhang
Journal:  Expert Opin Drug Discov       Date:  2017-01-23       Impact factor: 6.098

4.  Exploring off-targets and off-systems for adverse drug reactions via chemical-protein interactome--clozapine-induced agranulocytosis as a case study.

Authors:  Lun Yang; Kejian Wang; Jian Chen; Anil G Jegga; Heng Luo; Leming Shi; Chunling Wan; Xizhi Guo; Shengying Qin; Guang He; Guoyin Feng; Lin He
Journal:  PLoS Comput Biol       Date:  2011-03-31       Impact factor: 4.475

5.  eHealth technologies assisting in identifying potential adverse interactions with complementary and alternative medicine (CAM) or standalone CAM adverse events or side effects: a scoping review.

Authors:  Jeremy Y Ng; Maryam Mooghali; Vanessa Munford
Journal:  BMC Complement Med Ther       Date:  2020-07-29

Review 6.  In-silico studies in Chinese herbal medicines' research: evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date.

Authors:  D J Barlow; A Buriani; T Ehrman; E Bosisio; I Eberini; P J Hylands
Journal:  J Ethnopharmacol       Date:  2012-02-02       Impact factor: 4.360

7.  Network understanding of herb medicine via rapid identification of ingredient-target interactions.

Authors:  Hai-Ping Zhang; Jian-Bo Pan; Chi Zhang; Nan Ji; Hao Wang; Zhi-Liang Ji
Journal:  Sci Rep       Date:  2014-01-16       Impact factor: 4.379

8.  Identification of Toxic Pyrrolizidine Alkaloids and Their Common Hepatotoxicity Mechanism.

Authors:  Xinmiao Yan; Hong Kang; Jun Feng; Yiyan Yang; Kailin Tang; Ruixin Zhu; Li Yang; Zhengtao Wang; Zhiwei Cao
Journal:  Int J Mol Sci       Date:  2016-03-07       Impact factor: 5.923

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

  9 in total

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