title: Advances in quantitative structure-activity relationship models of anti-Alzheimer's agents.
abstract: BACKGROUND
  Alzheimer's disease (AD) is one of the lethal diseases, mainly affecting older people. The unclear root cause and involvement of various enzymes in the pathological conditions confirm the complexity of the disease. Quantitative structure-activity relationship (QSAR) techniques are of great significance in the design of drugs against AD.
  
  
  METHODS
  In the present review, the authors provide a basic background about AD and QSAR techniques. Furthermore, they review the various QSAR studies reported against various targets of AD. The information provided for each QSAR study includes chemical scaffold and target enzyme under study, applied QSAR technique and outcomes of the respective study.
  
  
  CONCLUSIONS
  In silico techniques like QSAR hold great potential in designing leads against a complex disease like AD. In combination with other in silico techniques, QSAR can provide more useful and rational insight to facilitate the discovery of novel compounds. Only few QSAR studies on imaging agents have been reported; hence, more QSAR studies are recommended to explore the biomarker or imaging agents for improving diagnosis. Again, for proper symptomatic treatment, multi-target drugs acting on more than one target are required. Hence, more multi-target QSAR studies are recommended in future to achieve this goal.
authors.affiliation: Jadavpur University, Department of Pharmaceutical Technology, Drug Theoretics and Cheminformatics Laboratory , Kolkata 700032 , India kunalroy_in@yahoo.com , kroy@pharma.jdvu.ac.in , kroy@pharma.jdvu.ac.in.
authors.forename: Pravin
authors.initials: P
authors.lastname: Ambure
authors.forename: Kunal
authors.initials: K
authors.lastname: Roy
mesh_terms: D000544:Alzheimer Disease / Q000175:diagnosis / Q000188:drug therapy* / Q000503:physiopathology; D015415:Biomarkers / Q000378:metabolism; D003198:Computer Simulation; D015195:Drug Design; D006801:Humans; D058990:Molecular Targeted Therapy; D021281:Quantitative Structure-Activity Relationship
chemical_list: D015415:Biomarkers
keywords: Alzheimer’s disease; cheminformatics; chemometrics; quantitative structure–activity relationship