Background:
Alzheimer’s disease is a medical condition with detrimental brain health. It is
majorly diagnosed in aging individuals plaque in β) characterized by accumulated Amyloidal beta (A
1 BACE) 1 secretase APP cleavage enzyme βneurological areas. The ) is the target of choice that can
be exploited to find drugs against Alzheimer’s disease.
Methods:
A series of BACE-1 inhibitors with reported binding constant were considered for the development
of a feature based pharmacophore model.
Results:
The good correlation coefficient (r=0.91) and RMSD of 0.93 was observed with 30 compounds
in training set. The model was validated internally (r2test=0.76) as well as externally by Fischer validation.
The pharmacophore based virtual screening retrieved compounds that were docked and biologically
evaluated.
Conclusion:
The three structurally diverse molecules were tested by in-vitro method. The pyridine
derivative with highest fit value (6.9) exhibited IC50 value of 2.70 µM and thus was found to be the most
promising lead molecule as BACE-1 inhibitor.