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Decomposing Metabolomic Isotope Patterns

  • Sebastian Böcker
  • Matthias C. Letzel
  • Zsuzsanna Lipták
  • Anton Pervukhin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4175)

Abstract

We present a method for determining the sum formula of metabolites solely from their mass and isotope pattern. Metabolites, such as sugars or lipids, participate in almost all cellular processes, but the majority still remains uncharacterized. Our input is a measured isotope pattern from a high resolution mass spectrometer, and we want to find those molecules that best match this pattern.

Determination of the sum formula is a crucial step in the identification of an unknown metabolite, as it reduces its possible structures to a hopefully manageable set. Our method is computationally efficient, and first results on experimental data indicate good identification rates for chemical compounds up to 700 Dalton.

Above 1000 Dalton, the number of molecules with a certain mass increases rapidly. To efficiently analyze mass spectra of such molecules, we define several additive invariants extracted from the input and then propose to solve a joint decomposition problem.

Keywords

Peak Mass Isotopic Distribution Isotope Pattern High Resolution Mass Spectrometry Nominal Mass 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sebastian Böcker
    • 1
  • Matthias C. Letzel
    • 2
  • Zsuzsanna Lipták
    • 3
  • Anton Pervukhin
    • 3
  1. 1.Lehrstuhl für BioinformatikFriedrich-Schiller-Universität JenaJenaGermany
  2. 2.Organische Chemie I, Fakultät für ChemieUniversität BielefeldBielefeldGermany
  3. 3.AG Genominformatik, Technische FakultätUniversität BielefeldBielefeldGermany

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