Predição de regiões de interface proteina-proteina baseada em informações estruturais / Prediction of protein-protein interface region based on structural information

AUTOR(ES)

Roberto Hiroshi Higa

DATA DE PUBLICAÇÃO

2009

RESUMO

This work approaches the problem of protein-proteins interface region prediction based on measures of physical-chemical and structural properties. The approach considers the amino acids of the protein surface as the basic units for classification, such that the restriction of use of patches, considered by similar predictors, is eliminated. This predictor is complemented by a second one, which identifies, among the interface amino acids, those which are most relevant from the standpoint of protein-protein binding energy. The classifiers can be used independently, for predicting interface amino acids and hot spots. Unlike other approaches for prediction of hot spots, described in the literature, the proposed approach does not depend on the knowledge of the protein structure in complex. This allows predicting hot spots in complement to the prediction of the interface amino acids. Concerning the identification of hot spots, the proposed predictor outperformed those, described in the literature, which use the same data set and criterion for performance evaluation

ASSUNTO(S)

protein prediction reconhecimento de padrões proteina pattern recognition previsão

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