Predicting enzyme class from protein structure using Bayesian classification.
Year: 2006
Type: article
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.
Source: PubMed
Authors: Luiz C Borro, Stanley R M Oliveira, Michel E B Yamagishi, Adaulto L Mancini, José G Jardine, Ivan Mazoni, Edgard H dos Santos, Roberto H Higa, Paula R Kuser, Goran Neshich
Institution: Embrapa
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2111993512