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Title

Integration of Molecular Networking and In-Silico MS/MS Fragmentation for Natural Products Dereplication

Authors
Péresse, Tiphaine
Bisson, Jonathan
Gindro, Katia
Pham, Van Cuong
Roussi, Fanny
Litaudon, Marc
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Published in Analytical Chemistry. 2016, vol. 88, no. 6, p. 3317-3323
Abstract Dereplication represents a key step for rapidly identifying known secondary metabolites in complex biological matrices. In this context, liquid-chromatography coupled to high resolution mass spectrometry (LC-HRMS) is increasingly used and, via untargeted data-dependent MS/MS experiments, massive amounts of detailed information on the chemical composition of crude extracts can be generated. An efficient exploitation of such data sets requires automated data treatment and access to dedicated fragmentation databases. Various novel bioinformatics approaches such as molecular networking (MN) and in-silico fragmentation tools have emerged recently and provide new perspective for early metabolite identification in natural products (NPs) research. Here we propose an innovative dereplication strategy based on the combination of MN with an extensive in-silico MS/MS fragmentation database of NPs. Using two case studies, we demonstrate that this combined approach offers a powerful tool to navigate through the chemistry of complex NPs extracts, dereplicate metabolites, and annotate analogues of database entries.
Keywords Biological Products/chemistryChromatography, Liquid/methodsComputer SimulationTandem Mass Spectrometry/methods
Identifiers
PMID: 26882108
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Structures
Research group Phytochimie et produits naturels bioactifs
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(ISO format)
ALLARD, Pierre-Marie et al. Integration of Molecular Networking and In-Silico MS/MS Fragmentation for Natural Products Dereplication. In: Analytical Chemistry, 2016, vol. 88, n° 6, p. 3317-3323. doi: 10.1021/acs.analchem.5b04804 https://archive-ouverte.unige.ch/unige:131242

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Deposited on : 2020-02-24

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