Open Access
Nature Communications, volume 9, issue 1, publication number 4035
Dereplication of microbial metabolites through database search of mass spectra
Mohimani Hosein
1, 2
,
Gurevich Alexey
3
,
Shlemov Alex
3
,
Mikheenko Alla
3
,
Korobeynikov Anton
3, 4
,
Cao Liu
1
,
Shcherbin Egor
5
,
Nothias Louis-Felix
6
,
Dorrestein Pieter C.
6, 7
,
Pevzner Pavel A.
2, 3
2
Department of Computer Science and Engineering, University of California, San Diego, La Jolla, USA
|
6
Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, USA
|
7
Department of Pharmacology and Pediatrics, University of California, San Diego, La Jolla, USA
|
Publication type: Journal Article
Publication date: 2018-10-02
Journal:
Nature Communications
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 16.6
ISSN: 20411723
PubMed ID:
30279420
General Chemistry
General Biochemistry, Genetics and Molecular Biology
General Physics and Astronomy
Abstract
Natural products have traditionally been rich sources for drug discovery. In order to clear the road toward the discovery of unknown natural products, biologists need dereplication strategies that identify known ones. Here we report DEREPLICATOR+, an algorithm that improves on the previous approaches for identifying peptidic natural products, and extends them for identification of polyketides, terpenes, benzenoids, alkaloids, flavonoids, and other classes of natural products. We show that DEREPLICATOR+ can search all spectra in the recently launched Global Natural Products Social molecular network and identify an order of magnitude more natural products than previous dereplication efforts. We further demonstrate that DEREPLICATOR+ enables cross-validation of genome-mining and peptidogenomics/glycogenomics results.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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Citations by publishers
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5
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Mohimani H. et al. Dereplication of microbial metabolites through database search of mass spectra // Nature Communications. 2018. Vol. 9. No. 1. 4035
GOST all authors (up to 50)
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Mohimani H., Gurevich A., Shlemov A., Mikheenko A., Korobeynikov A., Cao L., Shcherbin E., Nothias L., Dorrestein P. C., Pevzner P. A. Dereplication of microbial metabolites through database search of mass spectra // Nature Communications. 2018. Vol. 9. No. 1. 4035
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TY - JOUR
DO - 10.1038/s41467-018-06082-8
UR - https://doi.org/10.1038%2Fs41467-018-06082-8
TI - Dereplication of microbial metabolites through database search of mass spectra
T2 - Nature Communications
AU - Mohimani, Hosein
AU - Gurevich, Alexey
AU - Shlemov, Alex
AU - Mikheenko, Alla
AU - Korobeynikov, Anton
AU - Cao, Liu
AU - Shcherbin, Egor
AU - Nothias, Louis-Felix
AU - Dorrestein, Pieter C.
AU - Pevzner, Pavel A.
PY - 2018
DA - 2018/10/02 00:00:00
PB - Springer Nature
IS - 1
VL - 9
PMID - 30279420
SN - 2041-1723
ER -
Cite this
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@article{2018_Mohimani,
author = {Hosein Mohimani and Alexey Gurevich and Alex Shlemov and Alla Mikheenko and Anton Korobeynikov and Liu Cao and Egor Shcherbin and Louis-Felix Nothias and Pieter C. Dorrestein and Pavel A. Pevzner},
title = {Dereplication of microbial metabolites through database search of mass spectra},
journal = {Nature Communications},
year = {2018},
volume = {9},
publisher = {Springer Nature},
month = {oct},
url = {https://doi.org/10.1038%2Fs41467-018-06082-8},
number = {1},
doi = {10.1038/s41467-018-06082-8}
}