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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Sociedade Brasileira de Genética
2009-01-01
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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 |
_version_ |
1724953453819592704 |