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dc.date.accessioned | 2011-04-28T21:29:54Z | |
dc.date.available | 2011-04-28T03:00:00Z | |
dc.date.issued | 2011 | es |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/8181 | |
dc.description.abstract | Quantitative Structure Activity Relationship (QSAR) studies were carried out for a series of 16 compounds which acts as ligands for PPAR-γ receptor. TSAR software was used to identify the essential structural and physicochemical features for their PPAR-γ agonistic activity by performing multiple regression analysis. Significant correlation coefficients (q² = 0.9178) was obtained. The predicted values are in good agreement with the observed activity, suggesting that the model could be useful in the design of novel, more potent PPAR-γ agonist. | es |
dc.format.extent | 568-570 | es |
dc.language | en | es |
dc.subject | PPAR-γ receptor; QSAR; thiazolidinedione; TSAR software | es |
dc.subject | Análisis Estadístico | es |
dc.subject | Tiazoles | es |
dc.title | Quantitative structure activity relationship studies of some 5-aryl thiazolidine-2, 4-diones as antidiabetic agents | es |
dc.type | Articulo | es |
sedici.identifier.uri | http://www.latamjpharm.org/resumenes/30/3/LAJOP_30_3_2_6.pdf | es |
sedici.creator.person | Sonawane, Lalit V. | es |
sedici.creator.person | Bari, Sanjaykumar B. | es |
sedici.subject.materias | Farmacia | es |
sedici.description.fulltext | false | es |
mods.originInfo.place | Colegio de Farmacéuticos de la Provincia de Buenos Aires | es |
sedici.subtype | Comunicacion | es |
sedici2003.identifier | ARG-FARM-ART-0000001668 | es |
sedici.relation.journalTitle | Latin American Journal of Pharmacy | es |
sedici.relation.journalVolumeAndIssue | vol. 30, no. 3 | es |