Evidence map›Paper›PMID 34162873›Full record

ReviewNature communications2021

Mining and unearthing hidden biosynthetic potential.

Kirstin Scherlach, Christian Hertweck

Open access · goldAbstract readReview
In one paragraph

Review in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed
37.0field-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

171 citing papers in PubMed, 317 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Comparative Whole-Genome Sequence Analysis ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. A Novel Indigoidine-like NRPS Gene fromAntioxidants (Basel, Switzerland) · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Multi-Targeting Non-Specific Genome Engineering in Bacteria.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  19. Review
  20. Review

111 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

2 authors at 1 institution in 1 country.

Kirstin ScherlachDepartment of Biomolecular Chemistry, Leibniz Institute for Natural Product Research and Infection Biology, HKI, Jena, Germany.
Christian HertweckDepartment of Biomolecular Chemistry, Leibniz Institute for Natural Product Research and Infection Biology, HKI, Jena, Germany. christian.hertweck@leibniz-hki.de.ORCID 0000-0002-0367-337X
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetically encoded small molecules (secondary metabolites) play eminent roles in ecological interactions, as pathogenicity factors and as drug leads. Yet, these chemical mediators often evade detection, and the discovery of novel entities is hampered by low production and high rediscovery rates. These limitations may be addressed by genome mining for biosynthetic gene clusters, thereby unveiling cryptic metabolic potential. The development of sophisticated data mining methods and genetic and analytical tools has enabled the discovery of an impressive array of previously overlooked natural products. This review shows the newest developments in the field, highlighting compound discovery from unconventional sources and microbiomes.

Indexed as

Biological ProductsBiosynthetic PathwaysComputational BiologyData MiningDrug DiscoveryGenome, BacterialGenome, PlantGenomicsMolecular StructureSecondary MetabolismBiological Products

Identifiers

PMID34162873
PMCPMC8222398
OpenAlexW3175669157

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.