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ECMDB: The E. coli Metabolome Database

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...

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Autores principales: Guo, An Chi, Jewison, Timothy, Wilson, Michael, Liu, Yifeng, Knox, Craig, Djoumbou, Yannick, Lo, Patrick, Mandal, Rupasri, Krishnamurthy, Ram, Wishart, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531117/
https://www.ncbi.nlm.nih.gov/pubmed/23109553
http://dx.doi.org/10.1093/nar/gks992
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author Guo, An Chi
Jewison, Timothy
Wilson, Michael
Liu, Yifeng
Knox, Craig
Djoumbou, Yannick
Lo, Patrick
Mandal, Rupasri
Krishnamurthy, Ram
Wishart, David S.
author_facet Guo, An Chi
Jewison, Timothy
Wilson, Michael
Liu, Yifeng
Knox, Craig
Djoumbou, Yannick
Lo, Patrick
Mandal, Rupasri
Krishnamurthy, Ram
Wishart, David S.
author_sort Guo, An Chi
collection PubMed
description 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 ∼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.
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spelling pubmed-35311172013-03-07 ECMDB: The E. coli Metabolome Database Guo, An Chi Jewison, Timothy Wilson, Michael Liu, Yifeng Knox, Craig Djoumbou, Yannick Lo, Patrick Mandal, Rupasri Krishnamurthy, Ram Wishart, David S. Nucleic Acids Res Articles 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 ∼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. Oxford University Press 2013-01 2012-10-29 /pmc/articles/PMC3531117/ /pubmed/23109553 http://dx.doi.org/10.1093/nar/gks992 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.
spellingShingle Articles
Guo, An Chi
Jewison, Timothy
Wilson, Michael
Liu, Yifeng
Knox, Craig
Djoumbou, Yannick
Lo, Patrick
Mandal, Rupasri
Krishnamurthy, Ram
Wishart, David S.
ECMDB: The E. coli Metabolome Database
title ECMDB: The E. coli Metabolome Database
title_full ECMDB: The E. coli Metabolome Database
title_fullStr ECMDB: The E. coli Metabolome Database
title_full_unstemmed ECMDB: The E. coli Metabolome Database
title_short ECMDB: The E. coli Metabolome Database
title_sort ecmdb: the e. coli metabolome database
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531117/
https://www.ncbi.nlm.nih.gov/pubmed/23109553
http://dx.doi.org/10.1093/nar/gks992
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