Evidence map›Paper›PMID 30279420›Full record

ArticleNature communications2018

Dereplication of microbial metabolites through database search of mass spectra.

Hosein Mohimani, Alexey Gurevich, Alexander Shlemov, Alla Mikheenko, Anton Korobeynikov, Liu Cao, Egor Shcherbin, Louis-Felix Nothias, Pieter C Dorrestein, Pavel A Pevzner

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed
10.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

174 citing papers in PubMed, 345 citations in OpenAlex.

  1. Annotation and Dereplication of Peptidic Natural Products (PNPs).Methods in molecular biology (Clifton, N.J.) · 2027
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  6. Bioactivity-guided metabolomics reveals discriminant cytotoxic signatures in Siparuna guianensis.Metabolomics : Official journal of the Metabolomic Society · 2026
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114 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Hosein MohimaniComputational Biology Department, School of Computer Sciences, Carnegie Mellon University, Pittsburgh, PA, USA. hoseinm@andrew.cmu.edu.
Alexey GurevichCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia.
Alexander ShlemovCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia.ORCID http://orcid.org/0000-0002-2317-8587
Alla MikheenkoCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia.
Anton KorobeynikovCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia.ORCID http://orcid.org/0000-0002-2937-9259
Liu CaoComputational Biology Department, School of Computer Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
Egor ShcherbinNational Research University Higher School of Economics, St. Petersburg, Russia.
Louis-Felix NothiasCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
Pieter C DorresteinCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
Pavel A PevznerDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-0418-165X
St Petersburg University · RUUniversity of California San Diego · USCarnegie Mellon University · USNational Research University Higher School of Economics · RU

Funding

TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDEIRA, NUNO · 2012 to 2018
$8.7M
Experiment based genome mining of ribosomal natural productsR01GM097509 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DORRESTEIN, PIETER C, MOORE, BRADLEY S · 2012 to 2015
$1.9M
NIGMS NIH HHS P41 GM103484NIGMS NIH HHS R01 GM097509
6 · The paper itself

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.

Indexed as

Mass SpectrometryActinomycesAlgorithmsBiological ProductsCyanobacteriaDrug DiscoveryGenomicsMacrolidesSoftwareBiological ProductschalcomycinMacrolides

Identifiers

PMID30279420
PMCPMC6168521
OpenAlexW2893437991

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.