Evidence map›Paper›PMID 33807702›Full record

ReviewMarine drugs2021

Coupling Mass Spectral and Genomic Information to Improve Bacterial Natural Product Discovery Workflows.

Max Crüsemann

Open access · goldAbstract readReview
In one paragraph

Review in Marine drugs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Paenidepsins are a Family of Lipopeptides fromJournal of natural products · 2026
    Article
  3. Studies on Secondary Metabolites ofPolish journal of microbiology · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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

1 author at 1 institution in 1 country.

Max CrüsemannInstitute for Pharmaceutical Biology, University of Bonn, Nussallee 6, 53115 Bonn, Germany.ORCID 0000-0001-6660-2715
University of Bonn · DE

Funding

Deutsche Forschungsgemeinschaft CR464-1
6 · The paper itself

Abstract

Bacterial natural products possess potent bioactivities and high structural diversity and are typically encoded in biosynthetic gene clusters. Traditional natural product discovery approaches rely on UV- and bioassay-guided fractionation and are limited in terms of dereplication. Recent advances in mass spectrometry, sequencing and bioinformatics have led to large-scale accumulation of genomic and mass spectral data that is increasingly used for signature-based or correlation-based mass spectrometry genome mining approaches that enable rapid linking of metabolomic and genomic information to accelerate and rationalize natural product discovery. In this mini-review, these approaches are presented, and discovery examples provided. Finally, future opportunities and challenges for paired omics-based natural products discovery workflows are discussed.

Indexed as

AnimalsBacteriaBiological ProductsComputational BiologyDrug DiscoveryGenome, BacterialGenomicsHumansMass SpectrometryMultigene FamilyWorkflowBiological Productsbacterial natural productsgenome miningmass spectrometrypaired omics

Identifiers

PMID33807702
PMCPMC7998270
OpenAlexW3134213173

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.