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Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry

BMC Bioinformatics · 2007 · Vol. 8(1) · pp. 105–105
Tobias KindOliver Fiehn

Abstract

The seven rules enable an automatic exclusion of molecular formulas which are either wrong or which contain unlikely high or low number of elements. The correct molecular formula is assigned with a probability of 98% if the formula exists in a compound database. For truly novel compounds that are not present in databases, the correct formula is found in the first three hits with a probability of 65-81%. Corresponding software and supplemental data are available for downloads from the authors' website.

Metabolomics and Mass Spectrometry StudiesAnalytical Chemistry and ChromatographyMass Spectrometry Techniques and ApplicationsPubChemMass spectrometryChemistryComputer scienceHeuristicAlgorithmData miningDatabaseOrganic chemistryChromatography

MeSH terms

AlgorithmsBiopolymersComputer SimulationModels, ChemicalOrganic ChemicalsMass Spectrometry

Funding

  • U.S. Department of Energy
  • Battelle
  • Helsingin Yliopisto
  • University of Bern
  • Eastman Chemical Company
  • National Institutes of Health
  • National Institute of Environmental Health Sciences
  • National Center for Research Resources
  • Pacific Northwest National Laboratory
Citations
1,182
FWCI
14.34
field-weighted impact
References
53
Percentile
99%
vs. same field & year
Citations per year
References
Biological applications of fullerenes
Bioorganic & Medicinal Chemistry · 1996 · 634 citations
Atomic weights of the elements. Review 2000 (IUPAC Technical Report)
Pure and Applied Chemistry · 2003 · 1,011 citations
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