Predicting enzyme class from protein structural parameters and bagging predictors.
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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.
ISMB, X-MEETING 2006. Poster I-13.
ISMB, X-MEETING 2006. Poster I-13.
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Parâmetros estruturais da proteína, Parâmetros, Bioinformática, Sting_DB, Proteina, Enzima, Proteins, Enzymes, Bioinformatics