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dc.creatorErić, Slavica
dc.creatorSolmajer, Tom
dc.creatorZupan, Janja
dc.creatorNović, M
dc.creatorOblak, M
dc.creatorAgbaba, Danica
dc.date.accessioned2019-09-02T11:00:11Z
dc.date.available2019-09-02T11:00:11Z
dc.date.issued2004
dc.identifier.issn0014-827X
dc.identifier.urihttp://farfar.pharmacy.bg.ac.rs/handle/123456789/560
dc.description.abstractA quantitative structure-selectivity relationships of series of structurally diverse α 1 -adrenergic antagonists was performed by using counter-propagation neural network (CP-ANN). The theoretical molecular descriptors have been calculated and selected using CODESSA program. The results obtained for a highly non-congeneric set of molecules have confirmed the potential of use of CP-ANN approach in prediction of relative activity (selectivity) of α 1 -adrenergic antagonists.en
dc.publisherElsevier Masson SAS
dc.relationMinistry of Science, Technology and Development of the Republic of Serbia (Project no. 1458 - Molecular structures, chemical transformations, physicochemical characterization, pharmaceutical purity and analysis of pharmacologicaly active compounds).
dc.rightsrestrictedAccess
dc.sourceFarmaco
dc.subjectCp-ANNen
dc.subjectMolecular descriptorsen
dc.subjectα 1 -adrenergic antagonistsen
dc.titlePrediction of selectivity of α 1 -adrenergic antagonists by counterpropagation neural network (CP-ANN)en
dc.typearticle
dc.rights.licenseARR
dcterms.abstractСолмајер, Том; Ерић, Славица; Новић, М; Aгбаба, Даница; Облак, М; Зупан, Јања;
dc.citation.volume59
dc.citation.issue5
dc.citation.spage389
dc.citation.epage395
dc.citation.other59(5): 389-395
dc.citation.rankM23
dc.identifier.doi10.1016/j.farmac.2003.12.009
dc.identifier.scopus2-s2.0-2142829286
dc.identifier.rcubconv_5199
dc.type.versionpublishedVersion


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