Evidence map›Paper›PMID 24874813›Full record

ArticleNature protocols2014

Antibiotic resistance-mediated isolation of scaffold-specific natural product producers.

Maulik N Thaker, Nicholas Waglechner, Gerry D Wright

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Draft genome sequence ofMicrobiology resource announcements · 2023
    Article
  4. Draft Genome Sequence ofMicrobiology resource announcements · 2023
    Article
  5. Review
  6. Review
  7. Genome mining for drug discovery: progress at the front end.Journal of industrial microbiology & biotechnology · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Selective Isolation of Multidrug-ResistantFrontiers in microbiology · 2021
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Developments in Glycopeptide Antibiotics.ACS infectious diseases · 2018
    Article
  18. Review
  19. Article
  20. Gifted microbes for genome mining and natural product discovery.Journal of industrial microbiology & biotechnology · 2017
    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

3 authors.

Maulik N ThakerM.G. DeGroote Institute for Infectious Disease Research, Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.
Nicholas WaglechnerM.G. DeGroote Institute for Infectious Disease Research, Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.
Gerry D WrightM.G. DeGroote Institute for Infectious Disease Research, Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.

Funding

Canadian Institutes of Health Research MT-14981
6 · The paper itself

Abstract

For over half a century, actinomycetes have served as the most promising source of novel antibacterial scaffolds. However, over the years, there has been a decline in the discovery of new antibiotics from actinomycetes. This is partly due to the use of standard screening methods and platforms that result in the re-discovery of the same molecules. Thus, according to current estimates, the discovery of a new antibacterial requires screening of tens to hundreds of thousands of bacterial strains. We have devised a resistance-based antibacterial discovery platform by harnessing the innate self-protection mechanism of antibiotic producers. This protocol provides a detailed method for isolation of scaffold-specific antibacterial producers by isolating strains in the presence of a selective antibiotic. As a specific example, we describe isolation of glycopeptide antibiotic (GPA) producers from soil actinomycetes, using vancomycin as the antibiotic resistance filter. However, the protocol can be adapted to isolate diverse producers from various sources producing different scaffolds, by selecting an appropriate antibiotic as a screening filter. The protocol provides a solution for two major bottlenecks that impede the new drug discovery pipeline: low hit frequency and re-discovery of known molecules. The entire protocol, from soil collection to identification of putative antibacterial producers, takes about 6 weeks to complete.

Indexed as

Biological ProductsActinobacteriaAnti-Bacterial AgentsDrug DiscoveryGlycopeptidesSpecies SpecificityVancomycinAnti-Bacterial AgentsBiological ProductsGlycopeptidesVancomycin

Identifiers

PMID24874813

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.