Structure-based drug design studies on a series of aldolase inhibitors

Detalhes bibliográficos
Autor(a) principal: Ferreira,Leonardo G.
Data de Publicação: 2013
Outros Autores: Santos,Ricardo N. dos, Andricopulo,Adriano D.
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=S0103-50532013000200005
Resumo: Human African trypanosomiasis, also known as sleeping sickness, is a major cause of death in Africa, and for which there are no safe and effective treatments available. The enzyme aldolase from Trypanosoma brucei is an attractive, validated target for drug development. A series of alkyl-glycolamido and alkyl-monoglycolate derivatives was studied employing a combination of drug design approaches. Three-dimensional quantitative structure-activity relationships (3D QSAR) models were generated using the comparative molecular field analysis (CoMFA). Significant results were obtained for the best QSAR model (r² = 0.95, non-cross-validated correlation coefficient, and q² = 0.80, cross-validated correlation coefficient), indicating its predictive ability for untested compounds. The model was then used to predict values of the dependent variables (pKi) of an external test set, and the predicted values were in good agreement with the experimental results. The integration of 3D QSAR, molecular docking and molecular dynamics simulations provided further insight into the structural basis for selective inhibition of the target enzyme.
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spelling Structure-based drug design studies on a series of aldolase inhibitorsAfrican trypanosomiasisdrugdesigninhibitorsQSARmolecular modelingHuman African trypanosomiasis, also known as sleeping sickness, is a major cause of death in Africa, and for which there are no safe and effective treatments available. The enzyme aldolase from Trypanosoma brucei is an attractive, validated target for drug development. A series of alkyl-glycolamido and alkyl-monoglycolate derivatives was studied employing a combination of drug design approaches. Three-dimensional quantitative structure-activity relationships (3D QSAR) models were generated using the comparative molecular field analysis (CoMFA). Significant results were obtained for the best QSAR model (r² = 0.95, non-cross-validated correlation coefficient, and q² = 0.80, cross-validated correlation coefficient), indicating its predictive ability for untested compounds. The model was then used to predict values of the dependent variables (pKi) of an external test set, and the predicted values were in good agreement with the experimental results. The integration of 3D QSAR, molecular docking and molecular dynamics simulations provided further insight into the structural basis for selective inhibition of the target enzyme.Sociedade Brasileira de Química2013-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532013000200005Journal of the Brazilian Chemical Society v.24 n.2 2013reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.5935/0103-5053.20130026info:eu-repo/semantics/openAccessFerreira,Leonardo G.Santos,Ricardo N. dosAndricopulo,Adriano D.eng2013-05-20T00:00:00Zoai:scielo:S0103-50532013000200005Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2013-05-20T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Structure-based drug design studies on a series of aldolase inhibitors
title Structure-based drug design studies on a series of aldolase inhibitors
spellingShingle Structure-based drug design studies on a series of aldolase inhibitors
Ferreira,Leonardo G.
African trypanosomiasis
drug
design
inhibitors
QSAR
molecular modeling
title_short Structure-based drug design studies on a series of aldolase inhibitors
title_full Structure-based drug design studies on a series of aldolase inhibitors
title_fullStr Structure-based drug design studies on a series of aldolase inhibitors
title_full_unstemmed Structure-based drug design studies on a series of aldolase inhibitors
title_sort Structure-based drug design studies on a series of aldolase inhibitors
author Ferreira,Leonardo G.
author_facet Ferreira,Leonardo G.
Santos,Ricardo N. dos
Andricopulo,Adriano D.
author_role author
author2 Santos,Ricardo N. dos
Andricopulo,Adriano D.
author2_role author
author
dc.contributor.author.fl_str_mv Ferreira,Leonardo G.
Santos,Ricardo N. dos
Andricopulo,Adriano D.
dc.subject.por.fl_str_mv African trypanosomiasis
drug
design
inhibitors
QSAR
molecular modeling
topic African trypanosomiasis
drug
design
inhibitors
QSAR
molecular modeling
description Human African trypanosomiasis, also known as sleeping sickness, is a major cause of death in Africa, and for which there are no safe and effective treatments available. The enzyme aldolase from Trypanosoma brucei is an attractive, validated target for drug development. A series of alkyl-glycolamido and alkyl-monoglycolate derivatives was studied employing a combination of drug design approaches. Three-dimensional quantitative structure-activity relationships (3D QSAR) models were generated using the comparative molecular field analysis (CoMFA). Significant results were obtained for the best QSAR model (r² = 0.95, non-cross-validated correlation coefficient, and q² = 0.80, cross-validated correlation coefficient), indicating its predictive ability for untested compounds. The model was then used to predict values of the dependent variables (pKi) of an external test set, and the predicted values were in good agreement with the experimental results. The integration of 3D QSAR, molecular docking and molecular dynamics simulations provided further insight into the structural basis for selective inhibition of the target enzyme.
publishDate 2013
dc.date.none.fl_str_mv 2013-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532013000200005
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/0103-5053.20130026
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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.24 n.2 2013
reponame:Journal of the Brazilian Chemical Society (Online)
instname:Sociedade Brasileira de Química (SBQ)
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reponame_str Journal of the Brazilian Chemical Society (Online)
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