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KampoDB, database of predicted targets and functional annotations of natural medicines
by
Kubono, Takaki
, Yamanishi, Yoshihiro
, Hayashi, Shusaku
, Umezaki, Masahito
, Sawada, Ryusuke
, Kadowaki, Makoto
, Usui, Yoshihiko
, Kobayashi, Toshikazu
, Iwata, Michio
in
119/118
/ 631/114/129
/ 631/154
/ Chronic illnesses
/ Genomes
/ Herbal medicine
/ Humanities and Social Sciences
/ Learning algorithms
/ Machine learning
/ multidisciplinary
/ Proteins
/ Proteomes
/ Science
/ Science (multidisciplinary)
2018
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KampoDB, database of predicted targets and functional annotations of natural medicines
by
Kubono, Takaki
, Yamanishi, Yoshihiro
, Hayashi, Shusaku
, Umezaki, Masahito
, Sawada, Ryusuke
, Kadowaki, Makoto
, Usui, Yoshihiko
, Kobayashi, Toshikazu
, Iwata, Michio
in
119/118
/ 631/114/129
/ 631/154
/ Chronic illnesses
/ Genomes
/ Herbal medicine
/ Humanities and Social Sciences
/ Learning algorithms
/ Machine learning
/ multidisciplinary
/ Proteins
/ Proteomes
/ Science
/ Science (multidisciplinary)
2018
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Do you wish to request the book?
KampoDB, database of predicted targets and functional annotations of natural medicines
by
Kubono, Takaki
, Yamanishi, Yoshihiro
, Hayashi, Shusaku
, Umezaki, Masahito
, Sawada, Ryusuke
, Kadowaki, Makoto
, Usui, Yoshihiko
, Kobayashi, Toshikazu
, Iwata, Michio
in
119/118
/ 631/114/129
/ 631/154
/ Chronic illnesses
/ Genomes
/ Herbal medicine
/ Humanities and Social Sciences
/ Learning algorithms
/ Machine learning
/ multidisciplinary
/ Proteins
/ Proteomes
/ Science
/ Science (multidisciplinary)
2018
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KampoDB, database of predicted targets and functional annotations of natural medicines
Journal Article
KampoDB, database of predicted targets and functional annotations of natural medicines
2018
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Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group
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