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

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 r...

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Main Authors: Roberto Hiroshi Higa, Clésio Luis Tozzi
Format: Article
Language:English
Published: Sociedade Brasileira de Genética 2009-01-01
Series:Genetics and Molecular Biology
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000300029
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spelling doaj-feb63e968f884e05b02f38e967db3c912020-11-25T02:02:21ZengSociedade Brasileira de GenéticaGenetics and Molecular Biology1415-47571678-46852009-01-0132362663310.1590/S1415-47572009000300029Prediction of binding hot spot residues by using structural and evolutionary parametersRoberto Hiroshi HigaClésio Luis TozziIn 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000300029hot spots predictionprotein structurehot spots
collection DOAJ
language English
format Article
sources DOAJ
author Roberto Hiroshi Higa
Clésio Luis Tozzi
spellingShingle Roberto Hiroshi Higa
Clésio Luis Tozzi
Prediction of binding hot spot residues by using structural and evolutionary parameters
Genetics and Molecular Biology
hot spots prediction
protein structure
hot spots
author_facet Roberto Hiroshi Higa
Clésio Luis Tozzi
author_sort Roberto Hiroshi Higa
title Prediction of binding hot spot residues by using structural and evolutionary parameters
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
publisher Sociedade Brasileira de Genética
series Genetics and Molecular Biology
issn 1415-4757
1678-4685
publishDate 2009-01-01
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.
topic hot spots prediction
protein structure
hot spots
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000300029
work_keys_str_mv AT robertohiroshihiga predictionofbindinghotspotresiduesbyusingstructuralandevolutionaryparameters
AT clesioluistozzi predictionofbindinghotspotresiduesbyusingstructuralandevolutionaryparameters
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