Evidence map›Paper›PMID 29708658›Full record

ReviewProteomics2018

Mining for Microbial Gems: Integrating Proteomics in the Postgenomic Natural Product Discovery Pipeline.

Chao Du, Gilles P van Wezel

Open access · hybridAbstract readReview
In one paragraph

Review in Proteomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  4. Production of secondary metabolites in stirred tank bioreactor co-cultures ofFrontiers in bioengineering and biotechnology · 2022
    Article
  5. Article
  6. Review
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  13. Discovery of novel glycerolated quinazolinones from Streptomyces sp. MBT27.Journal of industrial microbiology & biotechnology · 2019
    Article
  14. Article
  15. Review
  16. Review
  17. Genome Mining ofFrontiers in microbiology · 2018
    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 2 countries.

Chao DuMicrobial Biotechnology & Health Programme Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.
Gilles P van WezelMicrobial Biotechnology & Health Programme Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.ORCID 0000-0003-0341-1561
Leiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products (NPs) are a major source of compounds for medical, agricultural, and biotechnological industries. Many of these compounds are of microbial origin, and, in particular, from Actinobacteria or filamentous fungi. To successfully identify novel compounds that correlate to a bioactivity of interest, or discover new enzymes with desired functions, systematic multiomics approaches have been developed over the years. Bioinformatics tools harness the rapidly expanding wealth of genome sequence information, revealing previously unsuspected biosynthetic diversity. Varying growth conditions or application of elicitors are applied to activate cryptic biosynthetic gene clusters, and metabolomics provide detailed insights into the NPs they specify. Combining these technologies with proteomics-based approaches to profile the biosynthetic enzymes provides scientists with insights into the full biosynthetic potential of microorganisms. The proteomics approaches include enrichment strategies such as employing activity-based probes designed by chemical biology, as well as unbiased (quantitative) proteomics methods. In this review, the opportunities and challenges in microbial NP research are discussed, and, in particular, the application of proteomics to link biosynthetic enzymes to the molecules they produce, and vice versa.

Indexed as

Drug DiscoveryAnti-Bacterial AgentsBacteriaBacterial ProteinsBiological ProductsBiosynthetic PathwaysComputational BiologyGenomicsMetabolomicsProteomicsAnti-Bacterial AgentsBacterial ProteinsBiological Productschemical biologycryptic biosynthetic gene clustermetabolomicsnatural product discoveryproteomics

Identifiers

PMID29708658
PMCPMC6175363
OpenAlexW2803066372

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.