Predicting enzyme class from protein structural parameters and bagging predictors.
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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Main Authors: | , , , , , , , , , |
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Other Authors: | |
Format: | Anais e Proceedings de eventos biblioteca |
Language: | Ingles English |
Published: |
2006-08-17
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Subjects: | Parâmetros estruturais da proteína, Parâmetros de Sting_DB, Bioinformática, Proteina, Enzima, Proteins, Enzymes, Bioinformatics, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/9310 |
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