Evidence map›Paper›PMID 25168706›Full record

ArticleJournal of computer-aided molecular design2014

Identification of novel peroxisome proliferator-activated receptor-gamma (PPARγ) agonists using molecular modeling method.

Veronica M W Gee, Fiona S L Wong, Lalitha Ramachandran, Gautam Sethi, Alan Prem Kumar, Chun Wei Yap

Abstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Demystifying the Functional Role of Nuclear Receptors in Esophageal Cancer.International journal of molecular sciences · 2022
    Review
  3. Review
  4. 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.

Veronica M W GeeDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore.
Fiona S L Wong
Lalitha Ramachandran
Gautam Sethi
Alan Prem Kumar
Chun Wei Yap

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peroxisome proliferator-activated receptor-gamma (PPARγ) plays a critical role in lipid and glucose homeostasis. It is the target of many drug discovery studies, because of its role in various disease states including diabetes and cancer. Thiazolidinediones, a synthetic class of agents that work by activation of PPARγ, have been used extensively as insulin-sensitizers for the management of type 2 diabetes. In this study, a combination of QSAR and docking methods were utilised to perform virtual screening of more than 25 million compounds in the ZINC library. The QSAR model was developed using 1,517 compounds and it identified 42,378 potential PPARγ agonists from the ZINC library, and 10,000 of these were selected for docking with PPARγ based on their diversity. Several steps were used to refine the docking results, and finally 30 potentially highly active ligands were identified. Four compounds were subsequently tested for their in vitro activity, and one compound was found to have a K i values of <5 μM.

Indexed as

Drug DiscoveryBinding SitesDiabetes Mellitus, Type 2HumansLigandsModels, MolecularMolecular Docking SimulationPeroxisome Proliferator-Activated ReceptorsPPAR gammaProtein BindingQuantitative Structure-Activity RelationshipThiazolidinedionesLigandsPeroxisome Proliferator-Activated ReceptorsPPAR gammaThiazolidinediones

Identifiers

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.