Evidence map›Paper›PMID 32083834›Full record

ArticleACS chemical biology2020

Daniel S May, Camila M Crnkovic, Aleksej Krunic, Tyler A Wilson, James R Fuchs, Jimmy E Orjala

Open access · greenAbstract readComparative Study
In one paragraph

Article in ACS chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Natural Products That Contain Higher Homologated Amino Acids.Chembiochem : a European journal of chemical biology · 2024
    Review
  7. Journal of the American Chemical Society · 2024
    Article
  8. Journal of the American Chemical Society · 2024
    Article
  9. Article
  10. Review
  11. Metabolomics Applied to Cyanobacterial Toxins and Natural Products.Advances in experimental medicine and biology · 2023
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Discovery of Cyanobacterial Natural Products Containing Fatty Acid Residues*.Angewandte Chemie (International ed. in English) · 2021
    Article
  19. 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

6 authors at 3 institutions in 2 countries.

Daniel S MayDepartment of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, Illinois 60612, United States.
Camila M CrnkovicDepartment of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, Illinois 60612, United States.
Aleksej KrunicDepartment of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, Illinois 60612, United States.
Tyler A WilsonDivision of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, The Ohio State University, Columbus, Ohio 43210, United States.
James R FuchsDivision of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0002-8743-6389
Jimmy E OrjalaDepartment of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, Illinois 60612, United States.ORCID 0000-0002-4420-2048
University of Illinois Chicago · USThe Ohio State University · USMinistry of Education · BR

Funding

Project 3:Isolation Chemistry of Filamentous Fungi and Biological EvaluationP01CA125066 · NCI · OHIO STATE UNIVERSITY · PI JIMMY ORJALA · 2007 to 2026
$27.2M
Research Training in Natural Product Complementary and Integrative HealthT32AT007533 · NCCIH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Joanna E Burdette, JIMMY ORJALA · 2013 to 2026
$4.3M
NCCIH NIH HHS T32 AT007533NCI NIH HHS P01 CA125066
6 · The paper itself

Abstract

As genome mining becomes a more widely used approach to identify bacterial natural products, the challenge of matching biosynthetic gene clusters to their cognate secondary metabolites has become more apparent. Bioinformatic platforms such as AntiSMASH have made great progress in predicting chemical structures from genetic information, however the predicted structures are often incomplete. This complicates identifying the predicted compounds by mass spectrometry. Secondary metabolites produced by cyanobacteria represent a unique opportunity for bridging this gap. Cultured cyanobacteria incorporate inorganic nitrogen provided in chemically defined media into all nitrogen-containing secondary metabolites. Thus, stable isotope labeling with

Indexed as

Base SequenceBiological ProductsBiosynthetic PathwaysCell Culture TechniquesCell ExtractsCyanobacteriaGenome, BacterialGlycopeptidesIsotope LabelingLipopeptidesMagnetic Resonance SpectroscopyMetabolomicsMultigene FamilyNitrogen IsotopesOligopeptidesTandem Mass Spectrometryaeruginosin 103-Aaeruginosin-865Biological ProductsCell ExtractsGlycopeptidesLipopeptidesNitrogen IsotopesOligopeptides

Identifiers

PMID32083834
PMCPMC7297037
OpenAlexW3008298589

What OpenQuestion holds

Textmetadata
LicenceTDM
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.