NETWORK PHARMACOLOGY–DRIVEN IN SILICO INVESTIGATION OF FLAVONOIDS AS MULTI-TARGET PHYTOCONSTITUENTS FOR ALZHEIMER’S DISEASE

To investigate the multi-target therapeutic potential and underlying molecular mechanisms of
flavonoids in Alzheimer’s disease using a network pharmacology–driven in silico approach.
Selected flavonoids were screened based on pharmacokinetic parameters and drug-likeness
properties. Putative targets of flavonoids were retrieved from publicly available databases and
intersected with AD-associated genes to identify common targets. A protein–protein
interaction (PPI) network was constructed to determine key hub genes. Gene Ontology (GO)
and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were
performed to elucidate relevant biological processes and signaling pathways. Molecular
docking studies were conducted to validate the binding interactions between selected
flavonoids and core AD-related proteins. The integrative network pharmacology and
molecular docking analysis suggests that flavonoids possess significant multi-target
therapeutic potential against Alzheimer’s disease. These findings provide a computational
foundation for further experimental validation and development of flavonoid-based
interventions for AD management.
Keywords: Alzheimer’s disease; Flavonoids; Network pharmacology; Molecular docking;
Multi-target therapy; Phytoconstituents; In silico analysis; Neuroprotection