Identification of Novel Scaffolds Against GSK-3β for Targeting Alzheimer's Disease Through Molecular Modeling Techniques.

Abstract

Alzheimer's disease (AD) is one of the most common causes of dementia in elderly populations. A multifactorial and complex etiology has hindered the establishment of successful disease-modifying and retarding treatments. An important molecular target that has a close link with the disease's pathophysiology is glycogen synthase kinase 3β (GSK-3β). GSK-3β is thought to be an important bridge between amyloid and tau pathologies, the two principle pathogenic hallmarks of the disease. In particular, its kinase activity is thought to be a contributing factor for initiating aberrant tau hyperphosphorylation toward neurodegenerative progression. To identify potential inhibitors for GSK-3β, a pharmacophore-based virtual screening was used on the VITAS-M Lab database, a large database of small molecules. A co-crystal ligand employed as the template allowed the screening of roughly 200,000 compounds. Compounds successfully screened were selected on the basis of the Phase screen score combining vector alignments, volume scores, and site matching parameters. Using a cutoff score of 1.7, 174 compounds were docked using the Glide tool for molecular docking to further identify potential high-affinity binding ligands. Finally, four chemicals with the best binding scores (cutoff Glide GScore values of - 8 kcal/mol) were identified. Among these, 3-(2-oxo-2H-chromen-3-yl)-N-(4-sulfamoylphenyl) benzamide (VL-1) and trimethylsilyl trifluoromethanesulfonate (VL-2) showed strong and stable binding interactions, as evidenced by molecular dynamics simulation (MDS). The results suggest that VL-1 and VL-2 may serve as promising lead compounds for GSK-3β-based anti-AD therapeutics. However, further in vivo mechanistic validation is warrantied to confirm their therapeutic applicability.