Predicting enzyme class from protein structure using Bayesian classification

被引：0

作者：

Borro, Luiz C. ^{[1
]}

Oliveira, Stanley R. M. ^{[1
]}

Yamagishi, Michel E. B. ^{[1
]}

Mancini, Adaulto L. ^{[1
]}

Jardine, Jose G. ^{[1
]}

Mazoni, Ivan ^{[1
]}

dos Santos, Edgard H. ^{[1
]}

Higa, Roberto H. ^{[1
]}

Kuser, Paula R. ^{[1
]}

Neshich, Goran ^{[1
]}

机构：

[1] Embrapa Informat Technol, BR-13083886 Campinas, SP, Brazil

来源：

GENETICS AND MOLECULAR RESEARCH | 2006年 / 5卷 / 01期

关键词：

protein function prediction; protein structure; Naive Bayes; enzyme classification number; Bayesian classifier; data classification;

D O I：

暂无

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：193 / 202

页数：10

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