Evidence map›Paper›PMID 27604382›Full record

ReviewNatural product reports2017

Comparative mass spectrometry-based metabolomics strategies for the investigation of microbial secondary metabolites.

Brett C Covington, John A McLean, Brian O Bachmann

Abstract readReview
In one paragraph

Review in Natural product reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

71 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Exploration of Phytochemical Constituents inAntioxidants (Basel, Switzerland) · 2026
    Article
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  16. Nobachelins, new siderophores fromSynthetic and systems biotechnology · 2023
    Article
  17. Article
  18. Review
  19. Review
  20. Annotation and Identification of Phytochemicals fromMolecules (Basel, Switzerland) · 2023
    Article

11 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

3 authors.

Brett C CovingtonDepartment of Chemistry, Vanderbilt University, 7330 Stevenson Center, Nashville, TN 37235, USA. brian.bachmann@vanderbilt.edu.
John A McLeanDepartment of Chemistry, Vanderbilt University, 7330 Stevenson Center, Nashville, TN 37235, USA. brian.bachmann@vanderbilt.edu and Center for Innovative Technology, Vanderbilt University, 5401 Stevenson Center, Nashville, TN 37235, USA.
Brian O BachmannDepartment of Chemistry, Vanderbilt University, 7330 Stevenson Center, Nashville, TN 37235, USA. brian.bachmann@vanderbilt.edu.

Funding

Chemistry-Biology Interface Training GrantT32GM065086 · NIGMS · VANDERBILT UNIVERSITY · PI BACHMANN, BRIAN O, SULIKOWSKI, GARY ALLEN · 2002 to 2022
$7.0M
New Methodologies for Accelerating Natural Product DiscoveryR01GM092218 · NIGMS · VANDERBILT UNIVERSITY · PI BACHMANN, BRIAN O, MCLEAN, JOHN ALAN · 2010 to 2018
$2.8M
NIGMS NIH HHS R01 GM092218NIGMS NIH HHS T32 GM065086
6 · The paper itself

Abstract

Covering: 2000 to 2016The labor-intensive process of microbial natural product discovery is contingent upon identifying discrete secondary metabolites of interest within complex biological extracts, which contain inventories of all extractable small molecules produced by an organism or consortium. Historically, compound isolation prioritization has been driven by observed biological activity and/or relative metabolite abundance and followed by dereplication via accurate mass analysis. Decades of discovery using variants of these methods has generated the natural pharmacopeia but also contributes to recent high rediscovery rates. However, genomic sequencing reveals substantial untapped potential in previously mined organisms, and can provide useful prescience of potentially new secondary metabolites that ultimately enables isolation. Recently, advances in comparative metabolomics analyses have been coupled to secondary metabolic predictions to accelerate bioactivity and abundance-independent discovery work flows. In this review we will discuss the various analytical and computational techniques that enable MS-based metabolomic applications to natural product discovery and discuss the future prospects for comparative metabolomics in natural product discovery.

Indexed as

Biological ProductsDrug DiscoveryHumansMolecular StructureNuclear Magnetic Resonance, BiomolecularBiological Products

Identifiers

PMID27604382
PMCPMC5214543

What OpenQuestion holds

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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.