Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer

Detalhes bibliográficos
Autor(a) principal: Martins,Gabriel R.
Data de Publicação: 2012
Outros Autores: Napolitano,Hamilton B., Camargo,Lilian T. F. M., Camargo,Ademir J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Chemical Society (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532012001200006
Resumo: In order to relate the geometric and electronic descriptors of the rutaecarpine analogous to their biological activity against cancer of the central nervous system (CNS), molecular quantum chemical calculations at B3LYP/6-31(d) level and statistical analysis were carried out for 21 rutaecarpine analogous. Out of the 86 molecular descriptors calculated, 5 were selected to build the principal component analysis (PCA) model. The PC1 component that accounts for 46.11% of the total variance of the data was alone able to discriminate completely the compounds into two classes: active and inactive. All molecular descriptors selected by PCA model are electronic parameters. The hierarchical cluster analysis (HCA) was also applied on the selected descriptors. Based on the 5 electronic descriptors selected, it is possible to suggest new compounds to be synthesized with activity against CNS cancer. In addition to that, a supervised partial least squares discriminant analysis (PLS-DA) model was built and successfully applied to discriminate rutaecarpine analogues, being validated through an independent test set and considered robust to overfitting.
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spelling Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancercentral nervous system cancerquinazoline-beta-carboline-5-oneB3LYPrutaecarpine analogousIn order to relate the geometric and electronic descriptors of the rutaecarpine analogous to their biological activity against cancer of the central nervous system (CNS), molecular quantum chemical calculations at B3LYP/6-31(d) level and statistical analysis were carried out for 21 rutaecarpine analogous. Out of the 86 molecular descriptors calculated, 5 were selected to build the principal component analysis (PCA) model. The PC1 component that accounts for 46.11% of the total variance of the data was alone able to discriminate completely the compounds into two classes: active and inactive. All molecular descriptors selected by PCA model are electronic parameters. The hierarchical cluster analysis (HCA) was also applied on the selected descriptors. Based on the 5 electronic descriptors selected, it is possible to suggest new compounds to be synthesized with activity against CNS cancer. In addition to that, a supervised partial least squares discriminant analysis (PLS-DA) model was built and successfully applied to discriminate rutaecarpine analogues, being validated through an independent test set and considered robust to overfitting.Sociedade Brasileira de Química2012-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532012001200006Journal of the Brazilian Chemical Society v.23 n.12 2012reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0103-50532013005000004info:eu-repo/semantics/openAccessMartins,Gabriel R.Napolitano,Hamilton B.Camargo,Lilian T. F. M.Camargo,Ademir J.eng2013-02-08T00:00:00Zoai:scielo:S0103-50532012001200006Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2013-02-08T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer
title Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer
spellingShingle Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer
Martins,Gabriel R.
central nervous system cancer
quinazoline-beta-carboline-5-one
B3LYP
rutaecarpine analogous
title_short Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer
title_full Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer
title_fullStr Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer
title_full_unstemmed Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer
title_sort Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer
author Martins,Gabriel R.
author_facet Martins,Gabriel R.
Napolitano,Hamilton B.
Camargo,Lilian T. F. M.
Camargo,Ademir J.
author_role author
author2 Napolitano,Hamilton B.
Camargo,Lilian T. F. M.
Camargo,Ademir J.
author2_role author
author
author
dc.contributor.author.fl_str_mv Martins,Gabriel R.
Napolitano,Hamilton B.
Camargo,Lilian T. F. M.
Camargo,Ademir J.
dc.subject.por.fl_str_mv central nervous system cancer
quinazoline-beta-carboline-5-one
B3LYP
rutaecarpine analogous
topic central nervous system cancer
quinazoline-beta-carboline-5-one
B3LYP
rutaecarpine analogous
description In order to relate the geometric and electronic descriptors of the rutaecarpine analogous to their biological activity against cancer of the central nervous system (CNS), molecular quantum chemical calculations at B3LYP/6-31(d) level and statistical analysis were carried out for 21 rutaecarpine analogous. Out of the 86 molecular descriptors calculated, 5 were selected to build the principal component analysis (PCA) model. The PC1 component that accounts for 46.11% of the total variance of the data was alone able to discriminate completely the compounds into two classes: active and inactive. All molecular descriptors selected by PCA model are electronic parameters. The hierarchical cluster analysis (HCA) was also applied on the selected descriptors. Based on the 5 electronic descriptors selected, it is possible to suggest new compounds to be synthesized with activity against CNS cancer. In addition to that, a supervised partial least squares discriminant analysis (PLS-DA) model was built and successfully applied to discriminate rutaecarpine analogues, being validated through an independent test set and considered robust to overfitting.
publishDate 2012
dc.date.none.fl_str_mv 2012-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532012001200006
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-50532013005000004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Química
publisher.none.fl_str_mv Sociedade Brasileira de Química
dc.source.none.fl_str_mv Journal of the Brazilian Chemical Society v.23 n.12 2012
reponame:Journal of the Brazilian Chemical Society (Online)
instname:Sociedade Brasileira de Química (SBQ)
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instname_str Sociedade Brasileira de Química (SBQ)
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reponame_str Journal of the Brazilian Chemical Society (Online)
collection Journal of the Brazilian Chemical Society (Online)
repository.name.fl_str_mv Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)
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