Prediction of Cyclin Proteins Using Chou's Pseudo Amino Acid Composition

被引：252

作者：

Mohabatkar, Hassan ^{[1
]}

机构：

[1] Shiraz Univ, Dept Biol, Coll Sci, Shiraz 71454, Iran

来源：

PROTEIN AND PEPTIDE LETTERS | 2010年 / 17卷 / 10期

关键词：

Cyclins; Chou's pseudo amino acid composition; ROC curve analysis; SUPPORT VECTOR MACHINE; SUBCELLULAR LOCATION; WEB-SERVER; STRUCTURAL CLASSES; SUBMITOCHONDRIA LOCATIONS; CONOTOXIN SUPERFAMILY; ENSEMBLE CLASSIFIER; APOPTOSIS PROTEINS; FUNCTIONAL DOMAIN; MEMBRANE-PROTEINS;

D O I：

10.2174/092986610792231564

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：

There are different types of cyclins, which are active during the cell cycle and enable cyclin-dependent kinases to phosphorylate different substrates. Since there is not much similarity between amino acid sequences of cyclins, predicting these proteins is an important job. This paper presents a bioinformatics classifier to predict cyclins based on Chou's pseudo amino acid composition. Analysis of the results by StAR, which is a program for the analysis of ROC curves, showed that accuracy of the approach was 83.53% (AUC=89.44%). The present work demonstrates that the method can provide useful information for predicting cyclins.

引用

页码：1207 / 1214

页数：8

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