TCM2COVID: A resource of anti‐COVID‐19 traditional Chinese medicine with effects and mechanisms. Issue 4 (5th August 2022)
- Record Type:
- Journal Article
- Title:
- TCM2COVID: A resource of anti‐COVID‐19 traditional Chinese medicine with effects and mechanisms. Issue 4 (5th August 2022)
- Main Title:
- TCM2COVID: A resource of anti‐COVID‐19 traditional Chinese medicine with effects and mechanisms
- Authors:
- Ren, Liping
Xu, Yi
Ning, Lin
Pan, Xianrun
Li, Yuchen
Zhao, Qi
Pang, Bo
Huang, Jian
Deng, Kejun
Zhang, Yang - Abstract:
- Abstract: In China, traditional Chinese medicine (TCM) has been widely used for coronavirus infectious disease 2019 (COVID‐19) prevention, treatment, and recovery and has played a part in the battle against the disease. A variety of TCM treatments have been recommended for different stages of COVID‐19. But, to the best of our knowledge, a comprehensive database for storing and organizing anti‐COVID TCM treatments is still lacking. Herein, we developed TCM2COVID, a manually curated resource of anti‐COVID TCM formulas, natural products (NPs), and herbs. The current version of TCM2COVID (1) documents over 280 TCM formulas (including over 300 herbs) with detailed clinical evidence and therapeutic mechanism information; (2) records over 80 NPs with detailed potential therapeutic mechanisms; and (3) launches a useful web server for querying, analyzing and visualizing documented formulas similar to those supplied by the user (formula similarity analysis). In summary, TCM2COVD provides a user‐friendly and practical platform for documenting, querying, and browsing anti‐COVID TCM treatments, and will help in the development and elucidation of the mechanisms of action of new anti‐COVID TCM therapies to support the fight against the COVID‐19 epidemic. TCM2COVID is freely available at http://zhangy-lab.cn/tcm2covid/ . Abstract : TCM2COVID documents over 280 traditional Chinese medicine formulas (including over 300 herbs) with detailed clinical evidence and therapeutic mechanismAbstract: In China, traditional Chinese medicine (TCM) has been widely used for coronavirus infectious disease 2019 (COVID‐19) prevention, treatment, and recovery and has played a part in the battle against the disease. A variety of TCM treatments have been recommended for different stages of COVID‐19. But, to the best of our knowledge, a comprehensive database for storing and organizing anti‐COVID TCM treatments is still lacking. Herein, we developed TCM2COVID, a manually curated resource of anti‐COVID TCM formulas, natural products (NPs), and herbs. The current version of TCM2COVID (1) documents over 280 TCM formulas (including over 300 herbs) with detailed clinical evidence and therapeutic mechanism information; (2) records over 80 NPs with detailed potential therapeutic mechanisms; and (3) launches a useful web server for querying, analyzing and visualizing documented formulas similar to those supplied by the user (formula similarity analysis). In summary, TCM2COVD provides a user‐friendly and practical platform for documenting, querying, and browsing anti‐COVID TCM treatments, and will help in the development and elucidation of the mechanisms of action of new anti‐COVID TCM therapies to support the fight against the COVID‐19 epidemic. TCM2COVID is freely available at http://zhangy-lab.cn/tcm2covid/ . Abstract : TCM2COVID documents over 280 traditional Chinese medicine formulas (including over 300 herbs) with detailed clinical evidence and therapeutic mechanism information; TCM2COVID records over 80 natural products with detailed potential therapeutic mechanisms; TCM2COVID launches a useful web server for querying, analyzing, and visualizing documented formulas similar to those supplied by the user (formula similarity analysis). Highlights: TCM2COVID documents over 280 TCM formulas (including over 300 herbs) with detailed clinical evidence and therapeutic mechanism information. TCM2COVID records over 80 NPs with detailed potential therapeutic mechanisms. TCM2COVID launches a useful web server for querying, analyzing, and visualizing documented formulas similar to those supplied by the user (formula similarity analysis). … (more)
- Is Part Of:
- IMeta. Volume 1:Issue 4(2022)
- Journal:
- IMeta
- Issue:
- Volume 1:Issue 4(2022)
- Issue Display:
- Volume 1, Issue 4 (2022)
- Year:
- 2022
- Volume:
- 1
- Issue:
- 4
- Issue Sort Value:
- 2022-0001-0004-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-08-05
- Subjects:
- COVID‐19 -- database -- herb -- natural product -- traditional Chinese medicine
Metagenomics -- Periodicals
Bioinformatics -- Periodicals
Bioinformatics
Metagenomics
Metagenomics
Metagenome
Computational Biology
Periodicals
Periodical
576.5 - Journal URLs:
- https://onlinelibrary.wiley.com/loi/2770596x ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/imt2.42 ↗
- Languages:
- English
- ISSNs:
- 2770-596X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24674.xml