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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Bibliographic Details
Main Authors: HIGA, R. H., TOZZI, C. L.
Other Authors: ROBERTO HIROSHI HIGA, FEEC/UNICAMP, CNPTIA; CLÉSIO LUIS TOZZI, FEEC/UNICAMP.
Format: Artigo de periódico biblioteca
Language:English
eng
Published: 2011-02-01
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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spelling 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
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic 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
spellingShingle 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
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