Evidence map›Paper›PMID 32232178›Full record

ArticleNature reviews. Chemistry2019

The hidden enzymology of bacterial natural product biosynthesis.

Thomas A Scott, Jörn Piel

Open access · bronzeAbstract read
In one paragraph

Article in Nature reviews. Chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
9.1field-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

47 citing papers in PubMed, 102 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. DAP-seq Reveals Cluster-Situated Regulator Control of NumerousbioRxiv : the preprint server for biology · 2026
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  12. Elucidation of Chalkophomycin Biosynthesis RevealsJournal of the American Chemical Society · 2024
    Article
  13. Article
  14. Review
  15. Elucidation of chalkophomycin biosynthesis revealsbioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Review
  18. Review
  19. Late-stage diversification of bacterial natural products through biocatalysis.Frontiers in bioengineering and biotechnology · 2024
    Review
  20. Article
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.

Thomas A ScottInstitute of Microbiology, ETH Zürich, Zürich, Switzerland.
Jörn PielInstitute of Microbiology, ETH Zürich, Zürich, Switzerland.
ETH Zurich · CH

Funding

European Research Council 742739Swiss National Science Foundation 146992Swiss National Science Foundation 167051
6 · The paper itself

Abstract

Bacterial natural products display astounding structural diversity, which, in turn, endows them with a remarkable range of biological activities that are of significant value to modern society. Such structural features are generated by biosynthetic enzymes that construct core scaffolds or perform peripheral modifications, and can thus define natural product families, introduce pharmacophores and permit metabolic diversification. Modern genomics approaches have greatly enhanced our ability to access and characterize natural product pathways via sequence-similarity-based bioinformatics discovery strategies. However, many biosynthetic enzymes catalyse exceptional, unprecedented transformations that continue to defy functional prediction and remain hidden from us in bacterial (meta)genomic sequence data. In this Review, we highlight exciting examples of unusual enzymology that have been uncovered recently in the context of natural product biosynthesis. These suggest that much of the natural product diversity, including entire substance classes, awaits discovery. New approaches to lift the veil on the cryptic chemistries of the natural product universe are also discussed.

Identifiers

PMID32232178
PMCPMC7104373
OpenAlexW2950468843

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.