Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/41826
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dc.creatorBitencourt, Michelle-
dc.creatorFreitas, Matheus P.-
dc.creatorRittner, Roberto-
dc.date.accessioned2020-07-12T23:17:08Z-
dc.date.available2020-07-12T23:17:08Z-
dc.date.issued2012-06-06-
dc.identifier.citationBITENCOURT, M.; FREITAS, M. P.; RITTNER, R. The MIA-QSAR method for the prediction of bioactivities of possible acetylcholinesterase inhibitors. Archiv der Pharmazie: Chemistry in Life Sciences, [S.l.], v. 345, n. 9, p. 723-728, Sept. 2012. DOI: 10.1002/ardp.201200079.pt_BR
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/10.1002/ardp.201200079pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/41826-
dc.description.abstractThis paper describes the use of the multivariate image analysis‐quantitative structure–activity relationship (MIA‐QSAR) methodology, which is a method capable of relating chemical structures with their biological activities. This in silico method has been shown to be extremely reliable and provides excellent results, even compared to those obtained by costly and time‐consuming methods. Here, a class of acetylcholinesterase inhibitors was studied and three new compounds exhibiting high estimated pIC50 values were found. They may be promising inhibitors for use in the treatment of Alzheimer's disease.pt_BR
dc.languageen_USpt_BR
dc.publisherWileypt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceArchiv der Pharmazie - Chemistry in Life Sciencespt_BR
dc.subjectAcetylcholinesterasept_BR
dc.subjectCarbamatespt_BR
dc.subjectMIA‐QSAR methodpt_BR
dc.subjectMultivariate image analysis applied to quantitative structure-activity relationship (MIA-QSAR)pt_BR
dc.titleThe MIA-QSAR method for the prediction of bioactivities of possible acetylcholinesterase inhibitorspt_BR
dc.typeArtigopt_BR
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