title: GMD@CSB.DB: the Golm Metabolome Database.
abstract: Metabolomics, in particular gas chromatography-mass spectrometry (GC-MS) based metabolite profiling of biological extracts, is rapidly becoming one of the cornerstones of functional genomics and systems biology. Metabolite profiling has profound applications in discovering the mode of action of drugs or herbicides, and in unravelling the effect of altered gene expression on metabolism and organism performance in biotechnological applications. As such the technology needs to be available to many laboratories. For this, an open exchange of information is required, like that already achieved for transcript and protein data. One of the key-steps in metabolite profiling is the unambiguous identification of metabolites in highly complex metabolite preparations from biological samples. Collections of mass spectra, which comprise frequently observed metabolites of either known or unknown exact chemical structure, represent the most effective means to pool the identification efforts currently performed in many laboratories around the world. Here we present GMD, The Golm Metabolome Database, an open access metabolome database, which should enable these processes. GMD provides public access to custom mass spectral libraries, metabolite profiling experiments as well as additional information and tools, e.g. with regard to methods, spectral information or compounds. The main goal will be the representation of an exchange platform for experimental research activities and bioinformatics to develop and improve metabolomics by multidisciplinary cooperation.
  
  
  BACKGROUND
  http://csbdb.mpimp-golm.mpg.de/gmd.html
  
  
  BACKGROUND
  Steinhauser@mpimp-golm.mpg.de
  
  
  BACKGROUND
  http://csbdb.mpimp-golm.mpg.de/
authors.affiliation: Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Golm, Germany.
authors.forename: Joachim
authors.initials: J
authors.lastname: Kopka
authors.forename: Nicolas
authors.initials: N
authors.lastname: Schauer
authors.forename: Stephan
authors.initials: S
authors.lastname: Krueger
authors.forename: Claudia
authors.initials: C
authors.lastname: Birkemeyer
authors.forename: Björn
authors.initials: B
authors.lastname: Usadel
authors.forename: Eveline
authors.initials: E
authors.lastname: Bergmüller
authors.forename: Peter
authors.initials: P
authors.lastname: Dörmann
authors.forename: Wolfram
authors.initials: W
authors.lastname: Weckwerth
authors.forename: Yves
authors.initials: Y
authors.lastname: Gibon
authors.forename: Mark
authors.initials: M
authors.lastname: Stitt
authors.forename: Lothar
authors.initials: L
authors.lastname: Willmitzer
authors.forename: Alisdair R
authors.initials: AR
authors.lastname: Fernie
authors.forename: Dirk
authors.initials: D
authors.lastname: Steinhauser
mesh_terms: D003628:Database Management Systems; D030562:Databases, Protein; D004282:Documentation / Q000379:methods*; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods; D033181:Information Dissemination / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D009323:Natural Language Processing; D020543:Proteome / Q000032:analysis / Q000737:chemistry* / Q000145:classification / Q000378:metabolism*; D011642:Publications; D013329:Structure-Activity Relationship; D018875:Vocabulary, Controlled
chemical_list: D020543:Proteome