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 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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Format: | Artigo de periódico biblioteca |
Language: | English eng |
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2011-02-01
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Subjects: | Estrutura proteica, Interações proteína-proteína, Previsão de resíduos hot spots, Protein structure, Prediction, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/875214 |
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dig-alice-doc-8752142017-08-15T21:42:08Z Prediction of binding hot spot residues by using structural and evolutionary parameters. HIGA, R. H. TOZZI, C. L. ROBERTO HIROSHI HIGA, FEEC/UNICAMP, CNPTIA; CLÉSIO LUIS TOZZI, FEEC/UNICAMP. Estrutura proteica Interações proteína-proteína Previsão de resíduos hot spots Protein structure Prediction 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. 2011-04-09T17:51:39Z 2011-04-09T17:51:39Z 2011-02-01 2009 2011-04-10T11:11:11Z Artigo de periódico Genetics and Molecular Biology, Ribeirão Preto, v. 32, n. 3, p. 626-633, 2009. http://www.alice.cnptia.embrapa.br/alice/handle/doc/875214 en eng openAccess |
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Estrutura proteica Interações proteína-proteína Previsão de resíduos hot spots Protein structure Prediction Estrutura proteica Interações proteína-proteína Previsão de resíduos hot spots Protein structure Prediction |
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Estrutura proteica Interações proteína-proteína Previsão de resíduos hot spots Protein structure Prediction Estrutura proteica Interações proteína-proteína Previsão de resíduos hot spots Protein structure Prediction HIGA, R. H. TOZZI, C. L. Prediction of binding hot spot residues by using structural and evolutionary parameters. |
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. |
author2 |
ROBERTO HIROSHI HIGA, FEEC/UNICAMP, CNPTIA; CLÉSIO LUIS TOZZI, FEEC/UNICAMP. |
author_facet |
ROBERTO HIROSHI HIGA, FEEC/UNICAMP, CNPTIA; CLÉSIO LUIS TOZZI, FEEC/UNICAMP. HIGA, R. H. TOZZI, C. L. |
format |
Artigo de periódico |
topic_facet |
Estrutura proteica Interações proteína-proteína Previsão de resíduos hot spots Protein structure Prediction |
author |
HIGA, R. H. TOZZI, C. L. |
author_sort |
HIGA, R. H. |
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. |
publishDate |
2011-02-01 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/875214 |
work_keys_str_mv |
AT higarh predictionofbindinghotspotresiduesbyusingstructuralandevolutionaryparameters AT tozzicl predictionofbindinghotspotresiduesbyusingstructuralandevolutionaryparameters |
_version_ |
1756014595211788288 |