Predicting enzyme class from protein structural parameters and bagging predictors.
2006
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.
Inglés. 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.
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