| URL: | http://tcm.lifescience.ntu.edu.tw |
| Full name: | Traditional Chinese Medicine |
| Description: | TCMGeneDIT is a database system providing association information about traditional Chinese medicines (TCMs), genes, diseases, TCM effects and TCM ingredients automatically mined from vast amount of biomedical literature. Integrated protein-protein interaction and biological pathways information collected from public databases are also available. In addition, the transitive relationships among genes, TCMs and diseases could be inferred through the shared intermediates. Furthermore, TCMGeneDIT is useful in deducing possible synergistic or antagonistic contributions of the prescription components to the overall therapeutic effects. TCMGeneDIT is a unique database of various association information about TCMs. The database integrating TCMs with life sciences and biomedical studies would facilitate the modern clinical research and the understanding of therapeutic mechanisms of TCMs and gene regulations. |
| Year founded: | 2008 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| Data object: | |
| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | National Taiwan University |
| Address: | |
| City: | |
| Province/State: | Taiwan |
| Country/Region: | China |
| Contact name (PI/Team): | Fang YC |
| Contact email (PI/Helpdesk): | yukijuan@ntu.edu.tw |
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TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining. [PMID: 18854039]
BACKGROUND: Traditional Chinese Medicine (TCM), a complementary and alternative medical system in Western countries, has been used to treat various diseases over thousands of years in East Asian countries. In recent years, many herbal medicines were found to exhibit a variety of effects through regulating a wide range of gene expressions or protein activities. As available TCM data continue to accumulate rapidly, an urgent need for exploring these resources systematically is imperative, so as to effectively utilize the large volume of literature. |