Background: Alzheimer Disease (AD) is one of the major threatof ageing. In current time it creates a social stigma among people so for this disease is important for research orientations. Herbal medicine offers several options to modify the progress and symptoms of AD hence new trend in the preparation and marketing of drugs based on medicinal plants, and their scientific and commercial significance appears to be gathering momentum in health-relevant areas. Current insilico study signifies the potentiality of Ginkgolide against Fyn C kinase in case of Alzhemier disease. Material and Methods: In the current study 3D model of Fyn C kinase receptor was predicted by comparative homology modeling program MODELLER. The computed model’s energy was minimized and validated using PROCHECK, ProSa and Errat tool to obtain a stable model structure. Stable model was used for molecular docking against screened phytochemical and available synthetic molecules using AutoDock 4.2, which resulted in energy- ased descriptors such as Binding Energy, Intermol energy, vdW + Hbond + desolv Energy and Electrostatic Energy. Results: These interactions between the active residues may lead to significant conformational change in that particular portion of the protein. This efficacy and suitability of ligand was determined on the basis of binding energy calculations. Ginkgolideshowed minimum binding energy calculations among selected 4 other natural ligands. Conclusion: Such information may open new prospects in the use of natural compounds and their derivatives as a potential drug candidateagainst Fyn C kinase for treatment of Alzheimer Disease (AD). 

Keywords: Molecular Modeling; Alzheimer; Ginkgolide; Molecular Interaction; Binding Energy; Natural Ligands.