Evidence map›Paper›PMID 25434976›Full record

ReviewJournal of natural products2015

Spirotetronate polyketides as leads in drug discovery.

Michelle H Lacoske, Emmanuel A Theodorakis

Abstract readReview
In one paragraph

Review in Journal of natural products, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. NewTheScientificWorldJournal · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
  5. COAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. ExploringMarine drugs · 2022
    Article
  13. Antibacterial Spirotetronate Polyketides from anMolecules (Basel, Switzerland) · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  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.

Michelle H LacoskeDepartment of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093-0358, United States.
Emmanuel A TheodorakisDepartment of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093-0358, United States.

Funding

Chemical Biology of Caged Garcinia XanthonesR01CA133002 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI THEODORAKIS, EMMANUEL A · 2008 to 2012
$1.3M
NCI NIH HHS CA133002
6 · The paper itself

Abstract

The discovery of chlorothricin (1) defined a new family of microbial metabolites with potent antitumor antibiotic properties collectively referred to as spirotetronate polyketides. These microbial metabolites are structurally distinguished by the presence of a spirotetronate motif embedded within a macrocyclic core. Glycosylation at the periphery of this core contributes to the structural complexity and bioactivity of this motif. The spirotetronate family displays impressive chemical structures, potent bioactivities, and significant pharmacological potential. This review groups the family members based on structural and biosynthetic considerations and summarizes synthetic and biological studies that aim to elucidate their mode of action and explore their pharmacological potential.

Indexed as

Drug DiscoveryPolyketidesActinobacteriaAminoglycosidesAnti-Bacterial AgentsMolecular StructureSpiro CompoundsAminoglycosidesAnti-Bacterial AgentschlorothricinkijanimicinPolyketidesSpiro Compounds

Identifiers

PMID25434976
PMCPMC4380204

What OpenQuestion holds

Textmetadata
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.