Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://www.symmap.org
Full name:
Description: SymMap integrates traditional Chinese medicine (TCM) with modern medicine (MM) through both internal molecular mechanism and external symptom mapping
Year founded: 2019
Last update:
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Country/Region: China

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Data type:
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NA
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Contact information

University/Institution: Beijing University of Chinese Medicine
Address: Beijing University of Chinese Medicine. No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing 100029, China
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Jianxin Chen
Contact email (PI/Helpdesk): cjx@bucm.edu.cn

Publications

30380087
SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping. [PMID: 30380087]
Wu Y, Zhang F, Yang K, Fang S, Bu D, Li H, Sun L, Hu H, Gao K, Wang W, Zhou X, Zhao Y, Chen J.

Recently, the pharmaceutical industry has heavily emphasized phenotypic drug discovery (PDD), which relies primarily on knowledge about phenotype changes associated with diseases. Traditional Chinese medicine (TCM) provides a massive amount of information on natural products and the clinical symptoms they are used to treat, which are the observable disease phenotypes that are crucial for clinical diagnosis and treatment. Curating knowledge of TCM symptoms and their relationships to herbs and diseases will provide both candidate leads and screening directions for evidence-based PDD programs. Therefore, we present SymMap, an integrative database of traditional Chinese medicine enhanced by symptom mapping. We manually curated 1717 TCM symptoms and related them to 499 herbs and 961 symptoms used in modern medicine based on a committee of 17 leading experts practicing TCM. Next, we collected 5235 diseases associated with these symptoms, 19 595 herbal constituents (ingredients) and 4302 target genes, and built a large heterogeneous network containing all of these components. Thus, SymMap integrates TCM with modern medicine in common aspects at both the phenotypic and molecular levels. Furthermore, we inferred all pairwise relationships among SymMap components using statistical tests to give pharmaceutical scientists the ability to rank and filter promising results to guide drug discovery. The SymMap database can be accessed at http://www.symmap.org/ and https://www.bioinfo.org/symmap.

Nucleic Acids Res. 2019:47(D1) | 163 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
345/6000 (94.267%)
Metadata:
33/619 (94.83%)
345
Total Rank
161
Citations
32.2
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Record metadata

Created on: 2019-01-04
Curated by:
Dong Zou [2019-01-07]
Dong Zou [2019-01-04]