Evidence map›Paper›PMID 26604687›Full record

ArticleDrug design, development and therapy2015

In silico approach for the discovery of new PPARγ modulators among plant-derived polyphenols.

José Antonio Encinar, Gregorio Fernández-Ballester, Vicente Galiano-Ibarra, Vicente Micol

Open access · goldAbstract readComparative Study
In one paragraph

Article in Drug design, development and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
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  17. Review
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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

4 authors at 3 institutions in 2 countries.

José Antonio EncinarMolecular and Cell Biology Institute, Miguel Hernández University, Elche, Spain.
Gregorio Fernández-BallesterMolecular and Cell Biology Institute, Miguel Hernández University, Elche, Spain.
Vicente Galiano-IbarraPhysics and Computer Architecture Department, Miguel Hernández University, Elche, Spain.
Vicente MicolMolecular and Cell Biology Institute, Miguel Hernández University, Elche, Spain ; CIBER: CB12/03/30038 Physiopathology of Obesity and Nutrition, CIBERobn, Instituto de Salud Carlos III, Palma de Mallorca, Spain.
Universitat de Miguel Hernández d'Elx · ESInstitute of Molecular and Cell Biology · RUSpanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peroxisome proliferator-activated receptor gamma (PPARγ) is a well-characterized member of the PPAR family that is predominantly expressed in adipose tissue and plays a significant role in lipid metabolism, adipogenesis, glucose homeostasis, and insulin sensitization. Full agonists of synthetic thiazolidinediones (TZDs) have been therapeutically used in clinical practice to treat type 2 diabetes for many years. Although it can effectively lower blood glucose levels and improve insulin sensitivity, the administration of TZDs has been associated with severe side effects. Based on recent evidence obtained with plant-derived polyphenols, the present in silico study aimed at finding new selective human PPARγ (hPPARγ) modulators that are able to improve glucose homeostasis with reduced side effects compared with TZDs. Docking experiments have been used to select compounds with strong binding affinity (ΔG values ranging from -10.0±0.9 to -11.4±0.9 kcal/mol) by docking against the binding site of several X-ray structures of hPPARγ. These putative modulators present several molecular interactions with the binding site of the protein. Additionally, most of the selected compounds have favorable druggability and good ADMET properties. These results aim to pave the way for further bench-scale analysis for the discovery of new modulators of hPPARγ that do not induce any side effects.

Indexed as

Binding SitesBlood GlucoseComputer SimulationDiabetes Mellitus, Type 2Drug DesignHumansHypoglycemic AgentsInsulinInsulin ResistanceMolecular Docking SimulationPlants, MedicinalPolyphenolsPPAR gammaThiazolidinedionesBlood GlucoseHypoglycemic AgentsInsulinPolyphenolsPPAR gammaThiazolidinedionesADMETAutoDock/Vinahigh-throughput computinghuman PPARγmolecular dockingphenolic compoundsTZDsvirtual screening

Identifiers

PMID26604687
PMCPMC4639521
OpenAlexW1943330482

What OpenQuestion holds

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LicenceCC BY-NC
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.