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Dereplication of peptidic natural products through database search of mass spectra
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Dereplication of peptidic natural products through database search of mass spectra
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Dereplication of peptidic natural products through database search of mass spectra
Dereplication of peptidic natural products through database search of mass spectra
Journal Article

Dereplication of peptidic natural products through database search of mass spectra

2017
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Overview
Aggregated mass spectral data by consortia such as the Global Natural Products Social (GNPS) molecular networking infrastructure enable natural product discovery. DEREPLICATOR, validated on peptidic natural products, is a computational tool to identify known metabolites in complex samples. 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.