Evidence map›Paper›PMID 34050176›Full record

ArticleNature communications2021

Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery.

Bahar Behsaz, Edna Bode, Alexey Gurevich, Yan-Ni Shi, Florian Grundmann, Deepa Acharya, Andrés Mauricio Caraballo-Rodríguez, Amina Bouslimani, Morgan Panitchpakdi, Annabell Linck and 6 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 72 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 3 countries.

Bahar Behsaz *Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA.
Edna Bode *Molecular Biotechnology, Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany.
Alexey GurevichCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St Petersburg, Russia.
Yan-Ni ShiMolecular Biotechnology, Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany.
Florian GrundmannMolecular Biotechnology, Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany.
Deepa AcharyaTiny Earth Chemistry Hub, University of Wisconsin-Madison, Madison, WI, USA.
Andrés Mauricio Caraballo-RodríguezCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-5499-2728
Amina BouslimaniCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
Morgan PanitchpakdiCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
Annabell LinckMolecular Biotechnology, Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany.
Changhui GuanThe Jackson Laboratory of Medical Genomics, Farmington, CT, USA.
Julia OhThe Jackson Laboratory of Medical Genomics, Farmington, CT, USA.
Pieter C DorresteinCenter for Microbiome Innovation, University of California at San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-3003-1030
Helge B BodeMolecular Biotechnology, Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany. helge.bode@mpi-marburg.mpg.de.ORCID http://orcid.org/0000-0001-6048-5909
Pavel A PevznerDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA. ppevzner@ucsd.edu.ORCID http://orcid.org/0000-0002-0418-165X
Hosein MohimaniComputational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. hoseinm@andrew.cmu.edu.ORCID http://orcid.org/0000-0003-3980-2505
University of California San Diego · USGoethe University Frankfurt · DEJackson Laboratory · USCarnegie Mellon University · USSt Petersburg University · RUUniversity of Wisconsin System · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Anna Karolina Palucka · 1985 to 2026
$61.9M
Metagenomes to Therapeutics: Defining the Rules for Engineering the Skin MicrobiomeDP2GM126893 · NIGMS · JACKSON LABORATORY · PI OH, JULIA · 2017 to 2017
$2.8M
Discovering novel small molecule antibiotics from complex microbial communities by integrating computational mass spectrometry and metagenome miningDP2GM137413 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI MOHIMANI, HOSEIN · 2019 to 2019
$2.2M
NCI NIH HHS P30 CA034196NIGMS NIH HHS DP2 GM126893NIGMS NIH HHS DP2 GM137413
6 · The paper itself

Abstract

Non-Ribosomal Peptides (NRPs) represent a biomedically important class of natural products that include a multitude of antibiotics and other clinically used drugs. NRPs are not directly encoded in the genome but are instead produced by metabolic pathways encoded by biosynthetic gene clusters (BGCs). Since the existing genome mining tools predict many putative NRPs synthesized by a given BGC, it remains unclear which of these putative NRPs are correct and how to identify post-assembly modifications of amino acids in these NRPs in a blind mode, without knowing which modifications exist in the sample. To address this challenge, here we report NRPminer, a modification-tolerant tool for NRP discovery from large (meta)genomic and mass spectrometry datasets. We show that NRPminer is able to identify many NRPs from different environments, including four previously unreported NRP families from soil-associated microbes and NRPs from human microbiota. Furthermore, in this work we demonstrate the anti-parasitic activities and the structure of two of these NRP families using direct bioactivity screening and nuclear magnetic resonance spectrometry, illustrating the power of NRPminer for discovering bioactive NRPs.

Indexed as

AlgorithmsAmino Acid SequenceAnti-Bacterial AgentsBiological ProductsComputational BiologyDatasets as TopicDrug DiscoveryHumansMass SpectrometryMetabolic Networks and PathwaysMetabolomicsMetagenomicsMicrobiotaMultigene FamilyPeptide BiosynthesisPeptidesAnti-Bacterial AgentsBiological ProductsPeptidesPeptide Synthases

Identifiers

PMID34050176
PMCPMC8163882
OpenAlexW3165680398

What OpenQuestion holds

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LicenceCC BY
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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.