Dereplication of microbial metabolites through database search of mass spectra

New natural products can be identified via mass spectrometry by excluding all known ones from the analysis, a process called dereplication. Here, the authors extend a previously published dereplication algorithm to different classes of secondary metabolites.

Bibliographic Details
Main Authors: Hosein Mohimani, Alexey Gurevich, Alexander Shlemov, Alla Mikheenko, Anton Korobeynikov, Liu Cao, Egor Shcherbin, Louis-Felix Nothias, Pieter C. Dorrestein, Pavel A. Pevzner
Format: Article
Language:English
Published: Nature Portfolio 2018-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-06082-8
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author Hosein Mohimani
Alexey Gurevich
Alexander Shlemov
Alla Mikheenko
Anton Korobeynikov
Liu Cao
Egor Shcherbin
Louis-Felix Nothias
Pieter C. Dorrestein
Pavel A. Pevzner
author_facet Hosein Mohimani
Alexey Gurevich
Alexander Shlemov
Alla Mikheenko
Anton Korobeynikov
Liu Cao
Egor Shcherbin
Louis-Felix Nothias
Pieter C. Dorrestein
Pavel A. Pevzner
author_sort Hosein Mohimani
collection DOAJ
description New natural products can be identified via mass spectrometry by excluding all known ones from the analysis, a process called dereplication. Here, the authors extend a previously published dereplication algorithm to different classes of secondary metabolites.
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spelling doaj.art-c4d864910a6d4ce48c29b27e6d1176902022-12-21T19:09:31ZengNature PortfolioNature Communications2041-17232018-10-019111210.1038/s41467-018-06082-8Dereplication of microbial metabolites through database search of mass spectraHosein Mohimani0Alexey Gurevich1Alexander Shlemov2Alla Mikheenko3Anton Korobeynikov4Liu Cao5Egor Shcherbin6Louis-Felix Nothias7Pieter C. Dorrestein8Pavel A. Pevzner9Computational Biology Department, School of Computer Sciences, Carnegie Mellon UniversityCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State UniversityCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State UniversityCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State UniversityCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State UniversityComputational Biology Department, School of Computer Sciences, Carnegie Mellon UniversityNational Research University Higher School of EconomicsCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San DiegoCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San DiegoDepartment of Computer Science and Engineering, University of California, San DiegoNew natural products can be identified via mass spectrometry by excluding all known ones from the analysis, a process called dereplication. Here, the authors extend a previously published dereplication algorithm to different classes of secondary metabolites.https://doi.org/10.1038/s41467-018-06082-8
spellingShingle Hosein Mohimani
Alexey Gurevich
Alexander Shlemov
Alla Mikheenko
Anton Korobeynikov
Liu Cao
Egor Shcherbin
Louis-Felix Nothias
Pieter C. Dorrestein
Pavel A. Pevzner
Dereplication of microbial metabolites through database search of mass spectra
Nature Communications
title Dereplication of microbial metabolites through database search of mass spectra
title_full Dereplication of microbial metabolites through database search of mass spectra
title_fullStr Dereplication of microbial metabolites through database search of mass spectra
title_full_unstemmed Dereplication of microbial metabolites through database search of mass spectra
title_short Dereplication of microbial metabolites through database search of mass spectra
title_sort dereplication of microbial metabolites through database search of mass spectra
url https://doi.org/10.1038/s41467-018-06082-8
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