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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.

в: Nature Chemical Biology, Том 13, № 1, 01.01.2017, стр. 30-37.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Mohimani, H, Gurevich, A, Mikheenko, A, Garg, N, Nothias, LF, Ninomiya, A, Takada, K, Dorrestein, PC & Pevzner, PA 2017, 'Dereplication of peptidic natural products through database search of mass spectra', Nature Chemical Biology, Том. 13, № 1, стр. 30-37. https://doi.org/10.1038/nchembio.2219, https://doi.org/10.1038/nchembio.2219

APA

Mohimani, H., Gurevich, A., Mikheenko, A., Garg, N., Nothias, L. F., Ninomiya, A., Takada, K., Dorrestein, P. C., & Pevzner, P. A. (2017). Dereplication of peptidic natural products through database search of mass spectra. Nature Chemical Biology, 13(1), 30-37. https://doi.org/10.1038/nchembio.2219, https://doi.org/10.1038/nchembio.2219

Vancouver

Author

Mohimani, Hosein ; Gurevich, Alexey ; Mikheenko, Alla ; Garg, Neha ; Nothias, Louis Felix ; Ninomiya, Akihiro ; Takada, Kentaro ; Dorrestein, Pieter C. ; Pevzner, Pavel A. / Dereplication of peptidic natural products through database search of mass spectra. в: Nature Chemical Biology. 2017 ; Том 13, № 1. стр. 30-37.

BibTeX

@article{757dd98c941243f0bf26b7361c479ee9,
title = "Dereplication of peptidic natural products through database search of mass spectra",
abstract = "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.",
author = "Hosein Mohimani and Alexey Gurevich and Alla Mikheenko and Neha Garg and Nothias, {Louis Felix} and Akihiro Ninomiya and Kentaro Takada and Dorrestein, {Pieter C.} and Pevzner, {Pavel A.}",
note = "Publisher Copyright: {\textcopyright} 2016 Nature America, Inc., part of Springer Nature. All rights reserved. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.",
year = "2017",
month = jan,
day = "1",
doi = "10.1038/nchembio.2219",
language = "English",
volume = "13",
pages = "30--37",
journal = "Nature Chemical Biology",
issn = "1552-4450",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

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