CADD Modeling of Multi-Target Drugs Against Alzheimer's Disease

Title:CADD Modeling of Multi-Target Drugs Against Alzheimer's Disease

Volume: 18 Issue: 5

Author(s): Pravin Ambure and Kunal Roy

Affiliation:

Keywords: Alzheimer's disease, CADD, polypharmacology, multi-target directed ligands.

Abstract: Alzheimer’s disease (AD) is a neurodegenerative disorder that is described by multiple factors linked with the progression of the disease. The currently approved drugs in the market are not capable of curing AD; instead, they merely provide symptomatic relief. Development of multi-target directed ligands (MTDLs) is an emerging strategy for improving the quality of the treatment against complex diseases like AD. Polypharmacology is a branch of pharmaceutical sciences that deals with the MTDL development. In this mini-review, we have summarized and discussed different strategies that are reported in the literature to design MTDLs for AD. Further, we have discussed the role of different in silico techniques and online resources in computer-aided drug discovery (CADD), for designing or identifying MTDLs against AD.

Cite this article as:

Ambure Pravin and Roy Kunal, CADD Modeling of Multi-Target Drugs Against Alzheimer's Disease, Current Drug Targets 2017; 18 (5) . https://dx.doi.org/10.2174/1389450116666150907104855