Prediction of binding hot spot residues by using structural and evolutionary parameters

Detalhes bibliográficos
Autor(a) principal: Higa,Roberto Hiroshi
Data de Publicação: 2009
Outros Autores: Tozzi,Clésio Luis
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000300029
Resumo: In this work, we present a method for predicting hot spot residues by using a set of structural and evolutionary parameters. Unlike previous studies, we use a set of parameters which do not depend on the structure of the protein in complex, so that the predictor can also be used when the interface region is unknown. Despite the fact that no information concerning proteins in complex is used for prediction, the application of the method to a compiled dataset described in the literature achieved a performance of 60.4%, as measured by F-Measure, corresponding to a recall of 78.1% and a precision of 49.5%. This result is higher than those reported by previous studies using the same data set.
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spelling Prediction of binding hot spot residues by using structural and evolutionary parametershot spots predictionprotein structurehot spotsIn this work, we present a method for predicting hot spot residues by using a set of structural and evolutionary parameters. Unlike previous studies, we use a set of parameters which do not depend on the structure of the protein in complex, so that the predictor can also be used when the interface region is unknown. Despite the fact that no information concerning proteins in complex is used for prediction, the application of the method to a compiled dataset described in the literature achieved a performance of 60.4%, as measured by F-Measure, corresponding to a recall of 78.1% and a precision of 49.5%. This result is higher than those reported by previous studies using the same data set.Sociedade Brasileira de Genética2009-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000300029Genetics and Molecular Biology v.32 n.3 2009reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572009000300029info:eu-repo/semantics/openAccessHiga,Roberto HiroshiTozzi,Clésio Luiseng2009-08-10T00:00:00Zoai:scielo:S1415-47572009000300029Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2009-08-10T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Prediction of binding hot spot residues by using structural and evolutionary parameters
title Prediction of binding hot spot residues by using structural and evolutionary parameters
spellingShingle Prediction of binding hot spot residues by using structural and evolutionary parameters
Higa,Roberto Hiroshi
hot spots prediction
protein structure
hot spots
title_short Prediction of binding hot spot residues by using structural and evolutionary parameters
title_full Prediction of binding hot spot residues by using structural and evolutionary parameters
title_fullStr Prediction of binding hot spot residues by using structural and evolutionary parameters
title_full_unstemmed Prediction of binding hot spot residues by using structural and evolutionary parameters
title_sort Prediction of binding hot spot residues by using structural and evolutionary parameters
author Higa,Roberto Hiroshi
author_facet Higa,Roberto Hiroshi
Tozzi,Clésio Luis
author_role author
author2 Tozzi,Clésio Luis
author2_role author
dc.contributor.author.fl_str_mv Higa,Roberto Hiroshi
Tozzi,Clésio Luis
dc.subject.por.fl_str_mv hot spots prediction
protein structure
hot spots
topic hot spots prediction
protein structure
hot spots
description In this work, we present a method for predicting hot spot residues by using a set of structural and evolutionary parameters. Unlike previous studies, we use a set of parameters which do not depend on the structure of the protein in complex, so that the predictor can also be used when the interface region is unknown. Despite the fact that no information concerning proteins in complex is used for prediction, the application of the method to a compiled dataset described in the literature achieved a performance of 60.4%, as measured by F-Measure, corresponding to a recall of 78.1% and a precision of 49.5%. This result is higher than those reported by previous studies using the same data set.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01
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=S1415-47572009000300029
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000300029
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572009000300029
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 Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.32 n.3 2009
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
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