Natural medicines (for example, herbal medicines) are useful for treatment of multifactorial and chronic diseases. KampoDB provides various useful scientific resources on kampo formulas, crude drugs, constituent natural compounds, and their target proteins. Both known and predicted interactions between compounds and proteins are presented, and our target predictions are based on large-scale omics data (for example, genome, proteome, metabolome, and interactome). KampoDB helps to understand the mode-of-action of natural medicines in terms of biological processes and pathways of target proteins, which can lead to new indications for a wide range of diseases. This databse is maintained by Institute of Natural Medicine.


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Data statistics

Kampo formulas 298
crude drugs 180
natural compounds 3 002
proteins / genes 62 906
docking simulation results 3 063 505

Data sources

We have integrated our original data with those from the following data sources.

How to cite KampoDB?

Please acknowledge KampoDB in your publications by citing the following paper:

  • Ryusuke Sawada, Michio Iwata, Masahito Umezaki, Yoshihiko Usui, Toshikazu Kobayashi, Takaki Kubono, Shusaku Hayashi, Makoto Kadowaki & Yoshihiro Yamanishi: KampoDB, database of predicted targets and functional annotations of natural medicines, Scientific Reports, volume 8, Article number: 11216 (2018). [link]

All original data provided by KampoDB are available under the CC BY-SA 4.0 license.


  • Q. Why are some important compounds missing from some crude drugs?
    • A. It is because the relationship data between crude drugs and compounds in KampoDB are based on KNApSAcK database, and when KampoDB retrieved the data from KNApSAcK database, the compounds were not registered for the organisms corresponding to the crude drugs in KNApSAcK database.