Structure-activity relationship study of rutaecarpine analogous active against central nervous system cancer
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , |
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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532012001200006 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532012001200006 |
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 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
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) |
repository.mail.fl_str_mv |
||office@jbcs.sbq.org.br |
_version_ |
1750318175378997248 |