Evidence map›Paper›PMID 42643303›Full record

ArticleFrontiers in bioinformatics2026

Design and

Abhirami Pv, Gupta Dheeraj Rajesh, N V L Sirisha Mulukuri, Ranjitha A, Niyas Rehman, Shiv Basant Kumar, Dileep Kumar, Pankaj Kumar

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Abhirami PvDepartment of Pharmaceutical Chemistry, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, India.
Gupta Dheeraj Rajesh *Department of Pharmaceutical Chemistry, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, India.
N V L Sirisha Mulukuri *Department of Pharmacognosy, Nitte College of Pharmaceutical Sciences (NCOPS), Nitte (Deemed to be University), Bangalore, India.
Ranjitha ADepartment of Pharmaceutical Chemistry, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, India.
Niyas RehmanCentre for Integrative Omics Data Science, Yenepoya (Deemed to be University), Mangalore, Karnataka, India.
Shiv Basant KumarAustralian Plastic Research and Innovation Lab, Global Innovative Centre for Advanced Nanomaterials (GICAN), College of Engineering, Science and Environment (CESE), The University of Newcastle, Callaghan, NSW, Australia.
Dileep KumarDepartment of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Pankaj KumarDepartment of Pharmaceutical Chemistry, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diabetes mellitus is a chronic metabolic disorder characterised by persistent hyperglycemia resulting from impaired insulin secretion, action, or both. Prolonged hyperglycemia disrupts metabolic homeostasis and increases the risk of complications, including cardiovascular disease, neuropathy, nephropathy, and retinopathy. Current therapies target multiple pathways but are limited by reduced efficacy and adverse effects. Peroxisome proliferator-activated receptor gamma (PPARγ) is a key regulator of glucose and lipid metabolism and an important therapeutic target. Thiazole and isoxazole scaffolds possess antidiabetic potential, and their hybridisation may improve efficacy and safety. Objective: To design and evaluate a novel series of thiazole-linked isoxazole derivatives targeting the alternate ligand-binding domain of PPARγ for potential antidiabetic activity. Result: The designed compounds (C1-C210) were docked into PPARγ (Protein Data Bank: 5 GTN), yielding nine candidates with binding affinities of -11.11 to -9.97 kcal/mol. Reference ligands included pioglitazone, Q-35, and S-35, with C139 showing the highest affinity. Molecular dynamics simulations (200 ns) confirmed stability. Advanced Trajectory analyses indicate favourable conformational sampling, correlated residue motions, and a relatively confined conformational space. Conclusion: In this computational study, the thiazole-linked isoxazole compound C139 demonstrated probable antidiabetic activity against PPARγ. However, these findings remain predictive and require further validation through comprehensive

Indexed as

anti-diabeticisoxazolemolecular dockingmolecular dynamic simulationperoxisome proliferator-activated receptor gammathiazole

Identifiers

PMID42643303
PMCPMC13503372

What OpenQuestion 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 OpenQuestion graph.