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SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information
Nature Methods · 2019 · Vol. 16(4) · pp. 299–302
Kai Dührkop(Friedrich Schiller University Jena)Markus Fleischauer(Friedrich Schiller University Jena)Marcus Ludwig(Friedrich Schiller University Jena)Alexander A. Aksenov(University of Montana)Alexey V. Melnik(University of Montana)Marvin Meusel(Helmholtz Centre for Infection Research)Pieter C. Dorrestein(University of Montana)Juho Rousu(Helsinki Institute for Information Technology)Sebastian Böcker✉(Friedrich Schiller University Jena)
Abstract
Mass spectrometry is a predominant experimental technique in metabolomics and related fields, but metabolite structural elucidation remains highly challenging. We report SIRIUS 4 (https://bio.informatik.uni-jena.de/sirius/), which provides a fast computational approach for molecular structure identification. SIRIUS 4 integrates CSI:FingerID for searching in molecular structure databases. Using SIRIUS 4, we achieved identification rates of more than 70% on challenging metabolomics datasets.
Metabolomics and Mass Spectrometry StudiesAdvanced Proteomics Techniques and ApplicationsAnalytical Chemistry and ChromatographySiriusMetabolomicsMetaboliteComputational biologyIdentification (biology)Mass spectrometryTandem mass spectrometryChemistryBiologyComputer science
MeSH terms
AlgorithmsElectronic Data ProcessingBayes TheoremComputer GraphicsIsotopesProgramming LanguagesSignal Processing, Computer-AssistedUser-Computer InterfaceMolecular StructureBiomarkersCluster AnalysisLikelihood FunctionsDatabases, FactualNeural Networks, ComputerComputational Biology
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