Evidence map›Paper›PMID 39900982›Full record

ArticleScientific reports2025

Exploring novel and potent glycogen synthase kinase-3β inhibitors through systematic drug designing approach.

Shabir Ahmad Ganai, Suma Mohan, Shahid Ahmad Padder

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. 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

3 authors.

Shabir Ahmad GanaiDivision of Basic Sciences & Humanities, FoH, SKUAST-Kashmir, Shalimar, Srinagar, Jammu & Kashmir, 190025, India. shabir.muntazir82@gmail.com.
Suma MohanSchool of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India.
Shahid Ahmad PadderDivision of Basic Sciences & Humanities, FoH, SKUAST-Kashmir, Shalimar, Srinagar, Jammu & Kashmir, 190025, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significant implications of glycogen synthase kinase-3β (GSK-3β) have been reported in various neuronal disorders and malignant cancers. GSK-3β modulates diverse protein targets through phosphorylation, and its aberrant activity leads to neurological complications as well as tumour onset. Therefore, inhibiting GSK-3β activity through active-site fitting molecules may offer a favourable strategy for intercepting these disorders. This comprehensive study used multiple assays in tandem in order to explore the most potent GSK-3β inhibitor. Following structural similarity screening, 135 molecular docking and 135 standard MM-GBSA experiments were performed using AZD1080, a known inhibitor as standard. Among the 32 molecules demonstrating a stronger binding affinity than reference, only the two most potent molecules were chosen and their binding free energy was compared to AZD1080 using the Desmond trajectory clustering and eventual MM-GBSA. Additionally, the interaction status of these molecules and AZD1080 with GSK-3β was explored post-molecular dynamics. The stability of the strongest molecule (most potent) was evaluated in the active site of the above-mentioned kinase keeping its apo-form as reference. Notably, the e-Pharmacophores mapping was performed to address the level of complementarity of the most potent molecule and AZD1080 with the functional site of GSK-3β. Using various techniques, we identified the molecule with PubChem CID: 11167509 as the strongest molecule for obstructing GSK-3β, which may serve as a promising therapeutic after the meticulous evaluation on diverse models.

Indexed as

Drug DesignGlycogen Synthase Kinase 3 betaProtein Kinase InhibitorsCatalytic DomainHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingGlycogen Synthase Kinase 3 betaProtein Kinase Inhibitorse-Pharmacophores modellingGSK-3βMolecular dynamics simulationShape based screeningTrajectory clusteringXP-docking

Identifiers

PMID39900982
PMCPMC11791084

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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.