Pharmacophore-based drug design of AChE and BChE dual inhibitors as potential anti-Alzheimer’s disease agents

Abstract

For the Alzheimer's disease (AD) with complex pathogenesis, single target drugs represent one of the most effective therapeutic strategies in clinical. However, the traditional concept of “a disease, a target” is difficult to find very effective drugs, and multi-target drugs have already become new hot spot in drug development for this disease. In our present study, our efforts toward discovering new cholinesterase (ChE) inhibitors aided by computational methods will provide useful information as anti-AD agents in the future. The best 3D-QSAR acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) inhibitors pharmacophore hypotheses Hypo1 A and Hypo1 B were generated and validated by HypoGen program in Discovery Studio 2016 based on the training set of flavonoids, and then they were used as 3D query for screening the ZINC database. Next, the hit molecules were then subjected to the ADMET and molecular docking study to prioritize the compounds. Finally, 6 compounds showed good estimated activities and promising ADMET properties. The result of best compound ZINC08751495 with AChE estimate activity (0.028), BChE estimate activity (1.55), AChE fit value (9.369), BChE fit value (8.415), AChE -CDOCKER ENERGY (30.22), BChE -CDOCKER ENERGY (33.13) has the potential for further development as a supplement to treat Alzheimer's disease.