SIRIUS: decomposing isotope patterns for metabolite identification

By Sebastian Böcker, Matthias C. Letzel, Zsuzsanna Lipták, Anton Pervukhin. Bioinform., 2008

331 citations recorded by the source corpus.

Motivation: High-resolution mass spectrometry (MS) is among the most widely used technologies in metabolomics. Metabolites participate in almost all cellular processes, but most metabolites still remain uncharacterized. 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. Results: We present a method for determining the sum formula of a metabolite solely from its mass and the natural distribution of its isotopes. 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. Our method is computationally efficient, and results on experimental data are very promising: for orthogonal time-of-flight mass spectrometry, we correctly identify sum formulas for >90% of the molecules, ranging in mass up to 1000 Da. Availability: SIRIUS is available under the LGPL license at http://bio.informatik.uni-jena.de/sirius/ Contact: anton.pervukhin@minet.uni-jena.de Supplementary information: Supplementary data are available at Bioinformatics online.

Subfields: Ecology, Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/aba341ed9cd8a930b4114f8b0727c8b35888b239

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In Ecology

  1. Sebastian Böcker
  2. Kerstin Scheubert
  3. Franziska Hufsky
  4. I. Blaženović
  5. Jian Ji
  6. Tobias Kind
  7. Oliver Fiehn

In Molecular Biology

  1. Sebastian Böcker
  2. Tobias Kind
  3. Kerstin Scheubert
  4. Franziska Hufsky
  5. Oliver Fiehn
  6. I. Blaženović
  7. Jian Ji
  8. Christoph Steinbeck

In Spectroscopy

  1. Oliver Fiehn
  2. Tobias Kind
  3. I. Blaženović
  4. Jian Ji
  5. Christoph Steinbeck
  6. Sebastian Böcker
  7. Tomás Pluskal
  8. Kerstin Scheubert

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