Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

ETCM

General information

URL: http://www.tcmip.cn/ETCM2/front/#/
Full name: The Encyclopedia of Traditional Chinese Medicine
Description: ETCM 2.0 provides the most comprehensive list of 48,442 TCM formulas and 9872 Chinese patent drugs with the standardized clinical data, the chemical and target profilings, as well as the quantitative information of marker ingredients and functional information.
Year founded: 2019
Last update: 2022-06
Version: v2.0
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences
Address: Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Hai-Yu Xu
Contact email (PI/Helpdesk): hyxu@icmm.ac.cn

Publications

37425046
ETCM v2.0: An update with comprehensive resource and rich annotations for traditional Chinese medicine. [PMID: 37425046]
Yanqiong Zhang, Xin Li, Yulong Shi, Tong Chen, Zhijian Xu, Ping Wang, Meng Yu, Wenjia Chen, Bing Li, Zhiwei Jing, Hong Jiang, Lu Fu, Wenjing Gao, Yanhua Jiang, Xia Du, Zipeng Gong, Weiliang Zhu, Hongjun Yang, Haiyu Xu

Existing traditional Chinese medicine (TCM)-related databases are still insufficient in data standardization, integrity and precision, and need to be updated urgently. Herein, an Encyclopedia of Traditional Chinese Medicine version 2.0 (ETCM v2.0, http://www.tcmip.cn/ETCM2/front/#/) was constructed as the latest curated database hosting 48,442 TCM formulas recorded by ancient Chinese medical books, 9872 Chinese patent drugs, 2079 Chinese medicinal materials and 38,298 ingredients. To facilitate the mechanistic research and new drug discovery, we improved the target identification method based on a two-dimensional ligand similarity search module, which provides the confirmed and/or potential targets of each ingredient, as well as their binding activities. Importantly, five TCM formulas/Chinese patent drugs/herbs/ingredients with the highest Jaccard similarity scores to the submitted drugs are offered in ETCM v2.0, which may be of significance to identify prescriptions/herbs/ingredients with similar clinical efficacy, to summarize the rules of prescription use, and to find alternative drugs for endangered Chinese medicinal materials. Moreover, ETCM v2.0 provides an enhanced JavaScript-based network visualization tool for creating, modifying and exploring multi-scale biological networks. ETCM v2.0 may be a major data warehouse for the quality marker identification of TCMs, the TCM-derived drug discovery and repurposing, and the pharmacological mechanism investigation of TCMs against various human diseases.

Acta Pharm Sin B. 2023:13(6) | 57 Citations (from Europe PMC, 2025-12-13)
30365030
ETCM: an encyclopaedia of traditional Chinese medicine. [PMID: 30365030]
Xu HY, Zhang YQ, Liu ZM, Chen T, Lv CY, Tang SH, Zhang XB, Zhang W, Li ZY, Zhou RR, Yang HJ, Wang XJ, Huang LQ.

Traditional Chinese medicine (TCM) is not only an effective solution for primary health care, but also a great resource for drug innovation and discovery. To meet the increasing needs for TCM-related data resources, we developed ETCM, an Encyclopedia of Traditional Chinese Medicine. ETCM includes comprehensive and standardized information for the commonly used herbs and formulas of TCM, as well as their ingredients. The herb basic property and quality control standard, formula composition, ingredient drug-likeness, as well as many other information provided by ETCM can serve as a convenient resource for users to obtain thorough information about a herb or a formula. To facilitate functional and mechanistic studies of TCM, ETCM provides predicted target genes of TCM ingredients, herbs, and formulas, according to the chemical fingerprint similarity between TCM ingredients and known drugs. A systematic analysis function is also developed in ETCM, which allows users to explore the relationships or build networks among TCM herbs, formulas,ingredients, gene targets, and related pathways or diseases. ETCM is freely accessible at http://www.nrc.ac.cn:9090/ETCM/. We expect ETCM to develop into a major data warehouse for TCM and to promote TCM related researches and drug development in the future.

Nucleic Acids Res. 2019:47(D1) | 520 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
194/6895 (97.201%)
Health and medicine:
48/1738 (97.296%)
194
Total Rank
534
Citations
89
z-index

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Not Rated
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Record metadata

Created on: 2019-01-04
Curated by:
Xinyu Zhou [2023-09-06]
Lina Ma [2021-06-25]
Dong Zou [2019-01-10]
Dong Zou [2019-01-04]