KampoDB Edit

Citations: 0

z-index: 0

Basic information
Short name KampoDB
Full name Kampo Database
Description a novel platform for the analysis of natural medicines, which provides various useful scientific resources on Japanese traditional formulas Kampo medicines, constituent herbal drugs, constituent compounds, and target proteins of these constituent compounds.
URL http://wakanmoview.inm.u-toyama.ac.jp/kampo
Year founded
Last update & version
Accessibility Accessible
Contact information

The contact information is provided to facilitate update of database information, and it is curated based on the contact details in the database or the related publications. To ensure effective contact with database constructors, we give priority to the contact details in the database.

University/Institution Kyushu Institute of Technology
Address
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Country/Region Japan
Contact name (PI/Team) Yoshihiro Yamanishi
Contact email (PI/Helpdesk)
Data information
Data object
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Publications
  • KampoDB, database of predicted targets and functional annotations of natural medicines. [PMID: 30046160]
    Ryusuke Sawada, Michio Iwata, Masahito Umezaki, Yoshihiko Usui, Toshikazu Kobayashi, Takaki Kubono, Shusaku Hayashi, Makoto Kadowaki, Yoshihiro Yamanishi

    Natural medicines (i.e., herbal medicines, traditional formulas) are useful for treatment of multifactorial and chronic diseases. Here, we present KampoDB ( http://wakanmoview.inm.u-toyama.ac.jp/kampo/ ), a novel platform for the analysis of natural medicines, which provides various useful scientific resources on Japanese traditional formulas Kampo medicines, constituent herbal drugs, constituent compounds, and target proteins of these constituent compounds. Potential target proteins of these constituent compounds were predicted by docking simulations and machine learning methods based on large-scale omics data (e.g., genome, proteome, metabolome, interactome). The current version of KampoDB contains 42 Kampo medicines, 54 crude drugs, 1230 constituent compounds, 460 known target proteins, and 1369 potential target proteins, and has functional annotations for biological pathways and molecular functions. KampoDB is useful for mode-of-action analysis of natural medicines and prediction of new indications for a wide range of diseases.

    Sci Rep 2018:8(1)

    0 Citations (from Europe PMC, 2019-07-27)

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  • Ranking in category/categories:
    • Pathway: No. 0
    • Health and medicine: No. 0
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of KampoDB.

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Record metadata

  • Created on: 2019-01-04
    • ***d@***c.cn [2019-01-12]
    • ***d@***c.cn [2019-01-12]
    • ***d@***c.cn [2019-01-04]

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