Título:	Prediction of binding hot spot residues by using structural and evolutionary parameters.
Autoria:	HIGA, R. H. TOZZI, C. L.
Afiliação:	ROBERTO HIROSHI HIGA, FEEC/UNICAMP, CNPTIA; CLÉSIO LUIS TOZZI, FEEC/UNICAMP.
Ano de publicação:	2009
Referência:	Genetics and Molecular Biology, Ribeirão Preto, v. 32, n. 3, p. 626-633, 2009.
Conteúdo:	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.
NAL Thesaurus:	Protein structure Prediction
Palavras-chave:	Estrutura proteica Interações proteína-proteína Previsão de resíduos hot spots
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPTIA)