Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

MicrobeTCM

General information

URL: https://www.microbetcm.com
Full name: Microbe of traditional Chinese medicine
Description: MicrobeTCM is a meticulously curated database aimed at providing a comprehensive resource on the changes in the microbiota and diseases under physical and chemical interventions, particularly traditional Chinese medicine (TCM) and acupuncture. MicrobeTCM offers a user-friendly interface for efficient retrieval of each entry using criteria such as diseases, microbes, TCM, and acupoints.
Year founded: 2023
Last update: 2024
Version: v1.0
Accessibility:
Accessible
Country/Region: China

Classification & Tag

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Contact information

University/Institution: Beijing University of Chinese Medicine
Address: No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Hua Qian
Contact email (PI/Helpdesk): huaq@bucm.edu.cn

Publications

38272335
MicrobeTCM: A comprehensive platform for the interactions of microbiota and traditional Chinese medicine. [PMID: 38272335]
Yufeng Chen, Yu Shi, Chengbang Liang, Zhuochao Min, Qiqi Deng, Rui Yu, Jiani Zhang, Kexin Chang, Luyao Chen, Ke Yan, Chunxiang Wang, Yan Tan, Xu Wang, Jianxin Chen, Qian Hua

Thanks to the advancements in bioinformatics, drugs, and other interventions that modulate microbes to treat diseases have been emerging continuously. In recent years, an increasing number of databases related to traditional Chinese medicine (TCM) or gut microbes have been established. However, a database combining the two has not yet been developed. To accelerate TCM research and address the traditional medicine and micro ecological system connection between short board, we have developed the most comprehensive micro-ecological database of TCM. This initiative includes the standardization of the following advantages: (1) A repeatable process achieved through the standardization of a retrieval strategy to identify literature. This involved identifying 419 experiment articles from PubMed and six authoritative databases; (2) High-quality data integration achieved through double-entry extraction of literature, mitigating uncertainties associated with natural language extraction; (3) Implementation of a similar strategy aiding in the prediction of mechanisms of action. Leveraging drug similarity, target entity similarity, and known drug-target entity association, our platform enables the prediction of the effects of a new herb or acupoint formulas using the existing data. In total, MicrobeTCM includes 171 diseases, 725 microbes, 1468 herb-formulas, 1032 herbs, 15780 chemical compositions, 35 acupoint-formulas, and 77 acupoints. For further exploration, please visit https://www.microbetcm.com.

Pharmacol Res. 2024:201() | 6 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
2802/6895 (59.376%)
Health and medicine:
701/1738 (59.724%)
2802
Total Rank
4
Citations
4
z-index

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Record metadata

Created on: 2024-07-16
Curated by:
Lina Ma [2024-07-23]
zheng luo [2024-07-17]
Wenzhuo Cheng [2024-07-16]