Advanced QSAR studies on PPARδ ligands related to metabolic diseases

Detalhes bibliográficos
Autor(a) principal: Maltarollo,Vinícius G.
Data de Publicação: 2012
Outros Autores: Silva,Danielle C., Honório,Káthia M.
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=S0103-50532012000100013
Resumo: PPARδ is a nuclear receptor that, when activated, regulates the metabolism of carbohydrates and lipids and is related to metabolic syndrome and type 2 diabetes. To understand the main interactions between ligands and PPARδ, we have constructed 2D and 3D QSAR models and compared them with HOMO, LUMO and electrostatic potential maps of the compounds studied, as well as docking results. All QSAR models showed good statistical parameters and prediction outcomes. The QSAR models were used to predict the biological activity of an external test set, and the predicted values are in good agreement with the experimental results. Furthermore, we employed all maps to evaluate the possible interactions between the ligands and PPARδ. These predictive QSAR models, along with the HOMO, LUMO and MEP maps, can provide insights into the structural and chemical properties that are needed in the design of new PPARδ ligands that have improved biological activity and can be employed to treat metabolic diseases.
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spelling Advanced QSAR studies on PPARδ ligands related to metabolic diseasesdiabetes mellitusPPARδHQSAR3D-QSARquantum chemistrymolecular modelingPPARδ is a nuclear receptor that, when activated, regulates the metabolism of carbohydrates and lipids and is related to metabolic syndrome and type 2 diabetes. To understand the main interactions between ligands and PPARδ, we have constructed 2D and 3D QSAR models and compared them with HOMO, LUMO and electrostatic potential maps of the compounds studied, as well as docking results. All QSAR models showed good statistical parameters and prediction outcomes. The QSAR models were used to predict the biological activity of an external test set, and the predicted values are in good agreement with the experimental results. Furthermore, we employed all maps to evaluate the possible interactions between the ligands and PPARδ. These predictive QSAR models, along with the HOMO, LUMO and MEP maps, can provide insights into the structural and chemical properties that are needed in the design of new PPARδ ligands that have improved biological activity and can be employed to treat metabolic diseases.Sociedade Brasileira de Química2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532012000100013Journal of the Brazilian Chemical Society v.23 n.1 2012reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0103-50532012000100013info:eu-repo/semantics/openAccessMaltarollo,Vinícius G.Silva,Danielle C.Honório,Káthia M.eng2012-02-02T00:00:00Zoai:scielo:S0103-50532012000100013Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2012-02-02T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Advanced QSAR studies on PPARδ ligands related to metabolic diseases
title Advanced QSAR studies on PPARδ ligands related to metabolic diseases
spellingShingle Advanced QSAR studies on PPARδ ligands related to metabolic diseases
Maltarollo,Vinícius G.
diabetes mellitus
PPARδ
HQSAR
3D-QSAR
quantum chemistry
molecular modeling
title_short Advanced QSAR studies on PPARδ ligands related to metabolic diseases
title_full Advanced QSAR studies on PPARδ ligands related to metabolic diseases
title_fullStr Advanced QSAR studies on PPARδ ligands related to metabolic diseases
title_full_unstemmed Advanced QSAR studies on PPARδ ligands related to metabolic diseases
title_sort Advanced QSAR studies on PPARδ ligands related to metabolic diseases
author Maltarollo,Vinícius G.
author_facet Maltarollo,Vinícius G.
Silva,Danielle C.
Honório,Káthia M.
author_role author
author2 Silva,Danielle C.
Honório,Káthia M.
author2_role author
author
dc.contributor.author.fl_str_mv Maltarollo,Vinícius G.
Silva,Danielle C.
Honório,Káthia M.
dc.subject.por.fl_str_mv diabetes mellitus
PPARδ
HQSAR
3D-QSAR
quantum chemistry
molecular modeling
topic diabetes mellitus
PPARδ
HQSAR
3D-QSAR
quantum chemistry
molecular modeling
description PPARδ is a nuclear receptor that, when activated, regulates the metabolism of carbohydrates and lipids and is related to metabolic syndrome and type 2 diabetes. To understand the main interactions between ligands and PPARδ, we have constructed 2D and 3D QSAR models and compared them with HOMO, LUMO and electrostatic potential maps of the compounds studied, as well as docking results. All QSAR models showed good statistical parameters and prediction outcomes. The QSAR models were used to predict the biological activity of an external test set, and the predicted values are in good agreement with the experimental results. Furthermore, we employed all maps to evaluate the possible interactions between the ligands and PPARδ. These predictive QSAR models, along with the HOMO, LUMO and MEP maps, can provide insights into the structural and chemical properties that are needed in the design of new PPARδ ligands that have improved biological activity and can be employed to treat metabolic diseases.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
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=S0103-50532012000100013
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-50532012000100013
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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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.1 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
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