TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining
2008

TCMGeneDIT: A Database for Traditional Chinese Medicine, Gene, and Disease Information

publication Evidence: moderate

Author Information

Author(s): Fang Yu-Ching, Huang Hsuan-Cheng, Chen Hsin-Hsi, Juan Hsueh-Fen

Primary Institution: National Taiwan University

Hypothesis

The study aims to develop a database that integrates information about traditional Chinese medicine (TCM), genes, and diseases using text mining techniques.

Conclusion

TCMGeneDIT is a unique database that offers diverse association information on TCMs, facilitating clinical research and elucidating possible therapeutic mechanisms.

Supporting Evidence

  • TCMGeneDIT integrates TCMs with biomedical studies to facilitate clinical research.
  • The database includes over 2,000 TCM entries and 13,167 gene entries.
  • Precision measurements showed high accuracy in the associations discovered by the database.

Takeaway

The researchers created a database that helps connect traditional Chinese medicine with genes and diseases, making it easier for scientists to study how they work together.

Methodology

The database was developed using MySQL, Perl, and PHP, integrating data from public databases and employing text mining techniques to extract associations.

Limitations

The study may have limitations related to the precision of text mining and the potential for ambiguous gene symbols.

Digital Object Identifier (DOI)

10.1186/1472-6882-8-58

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