Predicting enzyme class from protein structure using Bayesian classification.
ABSTRACT. Predicting enzyme class from protein structure parameters is a challenging problem in protein analysis. We developed a method to predict enzyme class that combines the strengths of statistical and data-mining methods. This method has a strong mathematical foundation and is simple to implement, achieving an accuracy of 45%. A comparison with the methods found in the literature designed to predict enzyme class showed that our method outperforms the existing methods.
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Main Authors: | , , , , , , , , , |
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Other Authors: | |
Format: | Artigo de periódico biblioteca |
Language: | English eng |
Published: |
2007-03-07
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Subjects: | Bioinformática, Estrutura de proteína, Classe de enzima, Bayesian classification, Protein function prediction, Naive Bayes, Enzyme classification number, Bayesian classifier, Data classification, Bioinformatics, Protein structure, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/9196 |
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