SuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development
Aim of the study: Botanicals used in Traditional Chinese Medicine (TCM) are a rich source for drug discovery and provide models for multi-component drug development. To facilitate the studies of the actions of TCM drugs and expand their applications, a comprehensive database is urgently required. Me...
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2021
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oai:doaj.org-article:e9f58490a1d44ada87d8f2f5a332fdde2021-11-14T04:29:35ZSuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development0753-332210.1016/j.biopha.2021.112315https://doaj.org/article/e9f58490a1d44ada87d8f2f5a332fdde2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S0753332221010994https://doaj.org/toc/0753-3322Aim of the study: Botanicals used in Traditional Chinese Medicine (TCM) are a rich source for drug discovery and provide models for multi-component drug development. To facilitate the studies of the actions of TCM drugs and expand their applications, a comprehensive database is urgently required. Methods: One online resource connects all the relevant data from multiple scientific sources and languages. Drug information from published TCM databases and the official Chinese Pharmacopoeia as well as specialized meta-websites such as Kew’s Medicinal Plant Names Service was integrated on a higher level. Results: Our database, SuperTCM, covers the aspects of TCM derived from medicinal plants, encompassing pharmacological recipes up to chemical compounds. It provides the information for 6516 TCM drugs (or “herbs”) with 5372 botanical species, 55,772 active ingredients against 543 targets in 254 KEGG pathways associated with 8634 diseases. SuperTCM is freely available at http://tcm.charite.de/supertcm.Qiaofeng ChenLena SpringerBjörn Oliver GohlkeAndrean GoedeMathias DunkelRenata AbelKathleen GalloSaskia PreissnerAndreas EckertLakshmi SeshadriRobert PreissnerElsevierarticleTraditional Chinese Medicine (TCM)materia medicaPhytochemistry (Ingredients)MetabolismKEGG pathwaysTherapeutics. PharmacologyRM1-950ENBiomedicine & Pharmacotherapy, Vol 144, Iss , Pp 112315- (2021) |
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DOAJ |
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topic |
Traditional Chinese Medicine (TCM) materia medica Phytochemistry (Ingredients) Metabolism KEGG pathways Therapeutics. Pharmacology RM1-950 |
spellingShingle |
Traditional Chinese Medicine (TCM) materia medica Phytochemistry (Ingredients) Metabolism KEGG pathways Therapeutics. Pharmacology RM1-950 Qiaofeng Chen Lena Springer Björn Oliver Gohlke Andrean Goede Mathias Dunkel Renata Abel Kathleen Gallo Saskia Preissner Andreas Eckert Lakshmi Seshadri Robert Preissner SuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development |
description |
Aim of the study: Botanicals used in Traditional Chinese Medicine (TCM) are a rich source for drug discovery and provide models for multi-component drug development. To facilitate the studies of the actions of TCM drugs and expand their applications, a comprehensive database is urgently required. Methods: One online resource connects all the relevant data from multiple scientific sources and languages. Drug information from published TCM databases and the official Chinese Pharmacopoeia as well as specialized meta-websites such as Kew’s Medicinal Plant Names Service was integrated on a higher level. Results: Our database, SuperTCM, covers the aspects of TCM derived from medicinal plants, encompassing pharmacological recipes up to chemical compounds. It provides the information for 6516 TCM drugs (or “herbs”) with 5372 botanical species, 55,772 active ingredients against 543 targets in 254 KEGG pathways associated with 8634 diseases. SuperTCM is freely available at http://tcm.charite.de/supertcm. |
format |
article |
author |
Qiaofeng Chen Lena Springer Björn Oliver Gohlke Andrean Goede Mathias Dunkel Renata Abel Kathleen Gallo Saskia Preissner Andreas Eckert Lakshmi Seshadri Robert Preissner |
author_facet |
Qiaofeng Chen Lena Springer Björn Oliver Gohlke Andrean Goede Mathias Dunkel Renata Abel Kathleen Gallo Saskia Preissner Andreas Eckert Lakshmi Seshadri Robert Preissner |
author_sort |
Qiaofeng Chen |
title |
SuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development |
title_short |
SuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development |
title_full |
SuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development |
title_fullStr |
SuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development |
title_full_unstemmed |
SuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development |
title_sort |
supertcm: a biocultural database combining biological pathways and historical linguistic data of chinese materia medica for drug development |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/e9f58490a1d44ada87d8f2f5a332fdde |
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