Predicting enzyme class from protein structural parameters and bagging predictors.

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Author(s): YAMAGISHI, M. E. B.; OLIVEIRA, S. R. M.; BORRO, L. C.; SANTOS, E. H.; JARDINE, J. G.; VIEIRA, F. D.; MAZONI, I.; NARCISO, M. G.; KUSER-FALCÃO, P. R.; NESHICH, G.

Summary: Short Abstract: In this work we present a new method to classify enzymes that uses the STING_DB physical-chemical parameters and Bagging predictors. By building models based on "decision tree" and "neural network", we obtained an accuracy of 74% on average. These results outperform the similar models proposed in literature.

Publication year: 2006

Types of publication: Abstract in annals or event proceedings

Unit: Embrapa Digital Agriculture

Keywords: Bioinformatics, Bioinformática, Enzima, Enzymes, Parâmetros de Sting_DB, Parâmetros estruturais da proteína, Proteina, Proteins

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