Welcome to TMDB!

The Tea Metabolome Database (TMDB) is a freely available electronic database containing detailed information about metabolites found in tea including from different parts of tea plant and different tea products. It is intended to be used for applications in tea metabolomics, discovery of new tea metabolites and general education. The database is designed to contain or link chemical data related to tea. The database (version 1.0) contains 1450 metabolite entries. Each entry contains ahout 24 data fields with most of the information being devoted to chemical data. Many data fields are hyperlinked to other databases (HMDB, PubChem) and a variety of structure and pathway viewing applets. The TMDB database supports extensive text, chemical structure, NMR data and relational query searches.

Citing the TMDB!

TMDB is offered to the public as a freely available resource. Use and re-distribution of the data, in whole or in part, for commercial purposes requires explicit permission of the authors and explicit acknowledgment of the source material (TMDB) and the original publication (see below). We kindly ask users who download significant portions of the database to cite the TMDB paper in any resulting publications.
Citation: Yue Y, Chu GX, Fu X, Yang T, Tang X, Luo FL, Ling TJ, Wang XG, Zhang ZZ, Xia T, Wan XC, Bao GH. TMDB: A literature-curated database for secondary metabolites found from tea. BMC Plant Biology 2014,14: XXX.
Statistics: 1473 compounds, more than 30000 total data entries; 618 NMR datasets (1H NMR 330; 13C NMR 288); 405 NMR spectra (1H NMR 233; 13C NMR 172)
Abbreviation: TMDB: The Tea Metabolome Database

Sponsors!

The research was supported by grants from the National "Twelfth Five-Year" basic research program of China (973, 2012CB722903), the National Natural Science Foundation of China (Grant Nos. 81170654/H0507), the National "Twelfth Five-Year" Technology Support Program of China (2011BAD01B01), and Anhui Agricultural University Talents Foundation (YJ2011-06), Anhui Outstanding Youth Science Foundation 1108085J04, and Program for Changjiang Scholars and Innovative Research Team in University IRT110. Funding to pay the Open Access publication charges for this article was provided by the above grants.