HMDB: the Human Metabolome Database

HMDB: the Human Metabolome Database

Received August 16, 2006; Revised October 15, 2006; Accepted October 17, 2006 | David S. Wishart1,5,7,* Dan Tzur1, Craig Knox1, Roman Eisner1, An Chi Guo1, Nelson Young1, Dean Cheng1, Kevin Jewell1, David Arndt1, Summit Sawhney5, Chris Fung5, Lisa Nikolai1, Mike Lewis1, Marie-Aude Coutouly1, Ian Forsythe1, Peter Tang1, Savita Shrivastava1, Kevin Jeronicic1, Paul Stothard1, Godwin Amegbay1, David Block1, David. D. Hau1, James Wagner1, Jessica Miniaci2, Melisa Clements3, Mulu Gebremedhin3, Natalie Guo3, Ying Zhang3, Gavin E. Duggan6, Glen D. Maclnnis6, Alim M. Weljie6, Reza Dowlatabadi6, Fiona Bamforth4, Derrick Clive3, Russ Greiner1, Liang Li3, Tom Marrie4, Brian D. Sykes2, Hans J. Vogel6 and Lori Querengesser1
The Human Metabolome Database (HMDB) is a comprehensive and curated collection of human metabolite and metabolism data, currently the most extensive in the world. It contains records for over 2180 endogenous metabolites, with information gathered from various sources including books, journal articles, and electronic databases. The HMDB also includes experimental metabolite concentration data from mass spectrometry (MS) and Nuclear Magnetic Resonance (NMR) analyses of urine, blood, and cerebrospinal fluid samples. Each metabolite entry in the HMDB contains an average of 90 data fields, covering compound descriptions, names, synonyms, structural information, physico-chemical data, reference spectra, biofluid concentrations, disease associations, pathway information, enzyme data, gene sequence data, SNP and mutation data, and links to images, references, and other databases. The HMDB provides extensive searching, relational querying, and data browsing tools to meet the needs of biochemists, clinical chemists, physicians, medical geneticists, nutritionists, and metabolomics researchers. It is available at www.hmdb.ca and is designed to address the broad needs of the metabolomics community. The HMDB is a multi-purpose database that combines molecular biology content from curated sequence databases with rich metabolic pathway and disease information, complemented by experimental data. The database is fully searchable and includes advanced features for higher-level database searching and selecting functions, such as chemical structure search, BLAST search, relational data extraction, and spectral matching tools. The HMDB is implemented as a web-friendly front-end to a sophisticated MySQL relational database and is maintained on a Linux server. The database is a work in progress, with constant additions and corrections, and is expected to serve as a useful model for future metabolomics databases.The Human Metabolome Database (HMDB) is a comprehensive and curated collection of human metabolite and metabolism data, currently the most extensive in the world. It contains records for over 2180 endogenous metabolites, with information gathered from various sources including books, journal articles, and electronic databases. The HMDB also includes experimental metabolite concentration data from mass spectrometry (MS) and Nuclear Magnetic Resonance (NMR) analyses of urine, blood, and cerebrospinal fluid samples. Each metabolite entry in the HMDB contains an average of 90 data fields, covering compound descriptions, names, synonyms, structural information, physico-chemical data, reference spectra, biofluid concentrations, disease associations, pathway information, enzyme data, gene sequence data, SNP and mutation data, and links to images, references, and other databases. The HMDB provides extensive searching, relational querying, and data browsing tools to meet the needs of biochemists, clinical chemists, physicians, medical geneticists, nutritionists, and metabolomics researchers. It is available at www.hmdb.ca and is designed to address the broad needs of the metabolomics community. The HMDB is a multi-purpose database that combines molecular biology content from curated sequence databases with rich metabolic pathway and disease information, complemented by experimental data. The database is fully searchable and includes advanced features for higher-level database searching and selecting functions, such as chemical structure search, BLAST search, relational data extraction, and spectral matching tools. The HMDB is implemented as a web-friendly front-end to a sophisticated MySQL relational database and is maintained on a Linux server. The database is a work in progress, with constant additions and corrections, and is expected to serve as a useful model for future metabolomics databases.
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[slides and audio] HMDB%3A the Human Metabolome Database