Review on Multitarget Drug Design Based on Computational Strategies for the Treatment of Alzheimer’s Disease

Abstract

The multi-target drugs have recently attracted much attention as promising tools due to their advantages in the treatment of complex diseases and health conditions linked to drug resistance issues. The pharmaceutical industry is increasingly linking cheminformatics in the search for the development of novel drugs to be used in the treatment of diseases. These computational studies have the benefit of being less expensive and optimize the study time. Amongst the techniques used is the development of multitarget directed ligands (MTDLs), which has become an ascending technique, mainly due to the improvement in the quality of treatment including several drugs. Multitarget therapy is more effective than traditional drug therapy that emphasizes maximum selectivity for a single target. In this review a multitarget drug study was presented as a promising strategy for the treatment of Alzheimer’s disease. It is aimed at collecting the latest and most interesting target combinations which have been reported in recent years for AD therapy. Computer-Aided Drug Design (CADD) techniques is discussed as a tool in the projection of multitarget compounds against this disease.