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.
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2018-10-01
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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. |
first_indexed | 2024-12-21T08:58:41Z |
format | Article |
id | doaj.art-c4d864910a6d4ce48c29b27e6d117690 |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-12-21T08:58:41Z |
publishDate | 2018-10-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
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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