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

被引：253
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
收藏
页码：1207 / 1214
页数：8
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