ECMDB: The E-coli Metabolome Database

被引:114
作者
Guo, An Chi [1 ]
Jewison, Timothy [1 ]
Wilson, Michael [1 ]
Liu, Yifeng [1 ]
Knox, Craig [1 ]
Djoumbou, Yannick
Lo, Patrick
Mandal, Rupasri
Krishnamurthy, Ram
Wishart, David S. [1 ,2 ]
机构
[1] Univ Alberta, Dept Comp Sci, Edmonton, AB T6G 2E8, Canada
[2] Natl Inst Nanotechnol, Edmonton, AB T6G 2M9, Canada
基金
加拿大健康研究院;
关键词
GENOME SEQUENCE; K-12; RECONSTRUCTION; DISCOVERY; SYSTEM;
D O I
10.1093/nar/gks992
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The Escherichia coli Metabolome Database (ECMDB, http://www.ecmdb.ca) is a comprehensively annotated metabolomic database containing detailed information about the metabolome of E. coli (K-12). Modelled closely on the Human and Yeast Metabolome Databases, the ECMDB contains > 2600 metabolites with links to similar to 1500 different genes and proteins, including enzymes and transporters. The information in the ECMDB has been collected from dozens of textbooks, journal articles and electronic databases. Each metabolite entry in the ECMDB contains an average of 75 separate data fields, including comprehensive compound descriptions, names and synonyms, chemical taxonomy, compound structural and physicochemical data, bacterial growth conditions and substrates, reactions, pathway information, enzyme data, gene/protein sequence data and numerous hyperlinks to images, references and other public databases. The ECMDB also includes an extensive collection of intracellular metabolite concentration data compiled from our own work as well as other published metabolomic studies. This information is further supplemented with thousands of fully assigned reference nuclear magnetic resonance and mass spectrometry spectra obtained from pure E. coli metabolites that we (and others) have collected. Extensive searching, relational querying and data browsing tools are also provided that support text, chemical structure, spectral, molecular weight and gene/protein sequence queries. Because of E. coli's importance as a model organism for biologists and as a biofactory for industry, we believe this kind of database could have considerable appeal not only to metabolomics researchers but also to molecular biologists, systems biologists and individuals in the biotechnology industry.
引用
收藏
页码:D625 / D630
页数:6
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