ArticleNaunyn-Schmiedeberg's archives of pharmacology2026
Identification of a novel GSK-3β inhibitor for Alzheimer's disease using In-Silico prediction and experiment cycling, validated in a streptozotocin-induced Alzheimer's disease mouse model.
Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
10 authors.
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Abstract
GSK-3β has been a key target in Alzheimer's disease (AD) research for over two decades. To identify novel GSK-3β inhibitors, 333 compounds from the National Cancer Institute (NCI) database were screened using a validated ligand-based pharmacophore model with four essential features (two hydrogen bond acceptors, one hydrophobic, and one aromatic ring). After tapering screening with refined boundaries, two top compounds (NSC 275 and NSC 3198) were identified. Molecular docking and simulation studies confirmed their strong binding affinity to GSK-3β. ELISA analysis revealed that their half maximal inhibitory concentration (IC
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