Evidence map›Paper›PMID 19916528›Full record

ArticleJournal of natural products2009

5-OHKF and NorKA, depsipeptides from a Hawaiian collection of Bryopsis pennata: binding properties for NorKA to the human neuropeptide Y Y1 receptor.

Jiangtao Gao, Catherina Caballero-George, Bin Wang, Karumanchi V Rao, Abbas Gholipour Shilabin, Mark T Hamann

Open access · greenAbstract read
In one paragraph

Article in Journal of natural products, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Recent advances and limitations in the application of kahalalides for the control of cancer.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. 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 1 institution in 1 country.

Jiangtao GaoThe Department of Pharmacognosy, Pharmacology and National Center for the Development of Natural Products, School of Pharmacy, The University of Mississippi, University, Mississippi 38677, USA.
Catherina Caballero-George
Bin Wang
Karumanchi V Rao
Abbas Gholipour Shilabin
Mark T Hamann
University of Mississippi · US

Funding

ANTIAIDS AGENTS FROM MARINE ORGANISMSR01AI036596 · NIAID · UNIVERSITY OF MISSISSIPPI · PI HAMANN, MARK T · 2001 to 2007
$2.3M
RENOVATION OF FOURTH FLOOR OF FASER HALLC06RR014503 · NCRR · UNIVERSITY OF MISSISSIPPI · PI WELLS, BARBARA G · 1999 to 1999
–
NCRR NIH HHS C06 RR014503NCRR NIH HHS C06 RR-14503-01NIAID NIH HHS 5R01AI1036596NIAID NIH HHS R01 AI036596
6 · The paper itself

Abstract

Two new cyclic depsipeptides, 5-OHKF (1) and norKA (2), together with the known congeners kahalalide F (3) and isokahalalide F ((4S)- methylhexanoic kahalalide F) (4) were isolated from the green alga Bryopsis pennata. The structures of the new compounds were established on the basis of extensive 1D and 2D NMR spectroscopic analysis and mass spectrometric (ESIMS) data. The absolute configuration of each amino acid of 5-OHKF (1) and norKA (2) was determined by chemical degradation and Marfey's analysis. The biological activities of these two compounds are also reported.

Indexed as

ChlorophytaDepsipeptidesHawaiiHumansMolecular StructureNuclear Magnetic Resonance, BiomolecularReceptors, Neuropeptide Y5-OHKF depsipeptideDepsipeptidesneuropeptide Y-Y1 receptorNorKA depsipeptideReceptors, Neuropeptide Y

Identifiers

PMID19916528
PMCPMC4895201
OpenAlexW2088728675

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.