Evidence map›Paper›PMID 34734626›Full record

ReviewNatural product reports2021

Genome mining methods to discover bioactive natural products.

Katherine D Bauman, Keelie S Butler, Bradley S Moore, Jonathan R Chekan

Abstract readReview
In one paragraph

Review in Natural product reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
–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

78 citing papers in PubMed.

  1. Emerging classes of copper enzymes.Current opinion in chemical biology · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Research Advances inJournal of fungi (Basel, Switzerland) · 2026
    Review
  7. Cebulactam AMarine drugs · 2026
    Article
  8. Review
  9. Review
  10. AI-Assisted Isolation of Bioactive Dipyrimicins fromJournal of natural products · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. ThiF-Like Enzyme Chemistry in Primary and Secondary Metabolism.Chembiochem : a European journal of chemical biology · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

18 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

4 authors.

Katherine D BaumanScripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093, USA. bsmoore@ucsd.edu.ORCID 0000-0003-1154-8189
Keelie S ButlerDepartment of Chemistry and Biochemistry, University of North Carolina Greensboro, Greensboro, NC, 27402, USA. jrchekan@uncg.edu.ORCID 0000-0002-5528-9222
Bradley S MooreScripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093, USA. bsmoore@ucsd.edu.ORCID 0000-0002-4652-1253
Jonathan R ChekanDepartment of Chemistry and Biochemistry, University of North Carolina Greensboro, Greensboro, NC, 27402, USA. jrchekan@uncg.edu.ORCID 0000-0003-4651-0594

Funding

Natural Product Genome MiningR01GM085770 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JENSEN, PAUL R, MOORE, BRADLEY S · 2009 to 2024
$5.8M
Predoctoral Training: Innovative Technologies for Natural Products and Integrative Medicine ResearchT32AT008938 · NCCIH · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI Nadja B Cech, Jonathan Rodi Chekan · 2016 to 2026
$1.6M
Engineering living medicines: work towards the metabolite rescue of molybdenum cofactor deficiencyF31HD101307 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAUMAN, KATHERINE D · 2020 to 2021
$61k
NCCIH NIH HHS T32 AT008938NICHD NIH HHS F31 HD101307NIGMS NIH HHS R01 GM085770
6 · The paper itself

Abstract

Covering: 2016 to 2021With genetic information available for hundreds of thousands of organisms in publicly accessible databases, scientists have an unprecedented opportunity to meticulously survey the diversity and inner workings of life. The natural product research community has harnessed this breadth of sequence information to mine microbes, plants, and animals for biosynthetic enzymes capable of producing bioactive compounds. Several orthogonal genome mining strategies have been developed in recent years to target specific chemical features or biological properties of bioactive molecules using biosynthetic, resistance, or transporter proteins. These "biosynthetic hooks" allow researchers to query for biosynthetic gene clusters with a high probability of encoding previously undiscovered, bioactive compounds. This review highlights recent case studies that feature orthogonal approaches that exploit genomic information to specifically discover bioactive natural products and their gene clusters.

Indexed as

Drug DiscoveryAnti-Bacterial AgentsBiological ProductsDisulfidesGenomicsGlycopeptidesHumansLigandsMicrobiotaOrganophosphonatesTerpenesAnti-Bacterial AgentsBiological ProductsDisulfidesGlycopeptidesLigandsOrganophosphonatesTerpenes

Identifiers

PMID34734626
PMCPMC8597713

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.