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

被引:17
|
作者
Ambure, Pravin [1 ]
Roy, Kunal [1 ,2 ]
机构
[1] Jadavpur Univ, Dept Pharmaceut Technol, Drug Theoret & Cheminformat Lab, Kolkata 700032, India
[2] Univ Manchester, Manchester Inst Biotechnol, Manchester M1 7DN, Lancs, England
关键词
Alzheimer's disease; CADD; polypharmacology; multi-target directed ligands; TARGET-DIRECTED LIGANDS; SITE ACETYLCHOLINESTERASE INHIBITORS; TACRINE-DIHYDROPYRIDINE HYBRIDS; BETA-AMYLOID AGGREGATION; H-3 RECEPTOR ANTAGONISTS; DUAL INHIBITORS; BIOLOGICAL EVALUATION; SEROTONIN TRANSPORTER; MOLECULAR DOCKING; POTENTIAL AGENTS;
D O I
10.2174/1389450116666150907104855
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
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.
引用
收藏
页码:522 / 533
页数:12
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