Research output: Contribution to journal › Article › peer-review
Dereplication of peptidic natural products through database search of mass spectra. / Mohimani, Hosein; Gurevich, Alexey; Mikheenko, Alla; Garg, Neha; Nothias, Louis Felix; Ninomiya, Akihiro; Takada, Kentaro; Dorrestein, Pieter C.; Pevzner, Pavel A.
In: Nature Chemical Biology, Vol. 13, No. 1, 01.01.2017, p. 30-37.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Dereplication of peptidic natural products through database search of mass spectra
AU - Mohimani, Hosein
AU - Gurevich, Alexey
AU - Mikheenko, Alla
AU - Garg, Neha
AU - Nothias, Louis Felix
AU - Ninomiya, Akihiro
AU - Takada, Kentaro
AU - Dorrestein, Pieter C.
AU - Pevzner, Pavel A.
N1 - Publisher Copyright: © 2016 Nature America, Inc., part of Springer Nature. All rights reserved. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Peptidic natural products (PNPs) are widely used compounds that include many antibiotics and a variety of other bioactive peptides. Although recent breakthroughs in PNP discovery raised the challenge of developing new algorithms for their analysis, identification of PNPs via database search of tandem mass spectra remains an open problem. To address this problem, natural product researchers use dereplication strategies that identify known PNPs and lead to the discovery of new ones, even in cases when the reference spectra are not present in existing spectral libraries. DEREPLICATOR is a new dereplication algorithm that enables high-throughput PNP identification and that is compatible with large-scale mass-spectrometry-based screening platforms for natural product discovery. After searching nearly one hundred million tandem mass spectra in the Global Natural Products Social (GNPS) molecular networking infrastructure, DEREPLICATOR identified an order of magnitude more PNPs (and their new variants) than any previous dereplication efforts.
AB - Peptidic natural products (PNPs) are widely used compounds that include many antibiotics and a variety of other bioactive peptides. Although recent breakthroughs in PNP discovery raised the challenge of developing new algorithms for their analysis, identification of PNPs via database search of tandem mass spectra remains an open problem. To address this problem, natural product researchers use dereplication strategies that identify known PNPs and lead to the discovery of new ones, even in cases when the reference spectra are not present in existing spectral libraries. DEREPLICATOR is a new dereplication algorithm that enables high-throughput PNP identification and that is compatible with large-scale mass-spectrometry-based screening platforms for natural product discovery. After searching nearly one hundred million tandem mass spectra in the Global Natural Products Social (GNPS) molecular networking infrastructure, DEREPLICATOR identified an order of magnitude more PNPs (and their new variants) than any previous dereplication efforts.
UR - http://www.scopus.com/inward/record.url?scp=84994681226&partnerID=8YFLogxK
U2 - 10.1038/nchembio.2219
DO - 10.1038/nchembio.2219
M3 - Article
C2 - 27820803
VL - 13
SP - 30
EP - 37
JO - Nature Chemical Biology
JF - Nature Chemical Biology
SN - 1552-4450
IS - 1
ER -
ID: 7614240