Evidence mapPaperPMID 36437421Full record

ArticleMolecular diversity2023

Molecular dynamics articulated multilevel virtual screening protocol to discover novel dual PPAR α/γ agonists for anti-diabetic and metabolic applications.

Subhankar Mandal, Syed Faizan, Nulgumnalli Manjunathaiah Raghavendra, B R Prashantha Kumar

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Article in Molecular diversity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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 1 institution in 1 country.

Subhankar MandalDepartment of Pharmaceutical Chemistry, JSS College of Pharmacy, S. S. Nagar, Mysuru, Karnataka, 570015, India.
Syed FaizanDepartment of Pharmaceutical Chemistry, JSS College of Pharmacy, S. S. Nagar, Mysuru, Karnataka, 570015, India.
Nulgumnalli Manjunathaiah RaghavendraDepartment of Pharmaceutical Chemistry, Acharya & BM Reddy College of Pharmacy, Bengaluru, India.
B R Prashantha KumarDepartment of Pharmaceutical Chemistry, JSS College of Pharmacy, S. S. Nagar, Mysuru, Karnataka, 570015, India. brprashanthkumar@jssuni.edu.in.ORCID http://orcid.org/0000-0001-9503-741X
JSS Academy of Higher Education and Research · IN

Funding

DST Inspire India IF160630
6 · The paper itself

Abstract

PPARα and PPARγ are isoforms of the nuclear receptor superfamily which regulate glucose and lipid metabolism. Activation of PPARα and PPARγ receptors by exogenous ligands could transactivate the expression of PPARα and PPARγ-dependent genes, and thereby, metabolic pathways get triggered, which are helpful to ameliorate treatment for the type 2 diabetes mellitus, and related metabolic complications. Herein, by understanding the structural requirements for ligands to activate PPARα and PPARγ proteins, we developed a multilevel in silico-based virtual screening protocol to identify novel chemical scaffolds and further design and synthesize two distinct series of glitazone derivatives with advantages over the classical PPARα and PPARγ agonists. Moreover, the synthesized compounds were biologically evaluated for PPARα and PPARγ transactivation potency from nuclear extracts of 3T3-L1 cell. Furthermore, glucose uptake assay on L6 cells confirmed the potency of the synthesized compounds toward glucose regulation. Percentage lipid-lowering potency was also assessed through triglyceride estimate from 3T3-L1 cell extracts. Results suggested the ligand binding mode was in orthosteric fashion as similar to classical agonists. Thus molecular docking and molecular dynamics (MD) simulation experiments were executed to validate our hypothesis on mode of ligands binding and protein complex stability. Altogether, the present study developed a newer protocol for virtual screening and enables to design of novel glitazones for activation of PPARα and PPARγ-mediated pathways. Accordingly, present approach will offer benefit as a therapeutic strategy against type 2 diabetes mellitus and associated metabolic complications.

Indexed as

Diabetes Mellitus, Type 2Molecular Dynamics SimulationGlucoseHumansMolecular Docking SimulationPPAR alphaPPAR gammaPPAR-gamma AgonistsGlucosePPAR alphaPPAR gammaPPAR-gamma AgonistsMD simulationMolecular dockingNon-classical glitazonesPharmacophoreTransactivation assayVirtual screening

Identifiers

PMID36437421
OpenAlexW4310267099

What Socratic 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 Socratic graph.