Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/37938
Type: Artigo de periódico
Title: Prediction of binding hot spot residues by using structural and evolutionary parameters
Author: Higa, Roberto Hiroshi
Tozzi, Clésio Luis
Abstract: 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.
Subject: hot spots prediction
protein structure
hot spots
Editor: Sociedade Brasileira de Genética
Rights: aberto
Identifier DOI: 10.1590/S1415-47572009000300029
Address: http://dx.doi.org/10.1590/S1415-47572009000300029
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000300029
Date Issue: 1-Jan-2009
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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