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Protein & Peptide Letters

Editor-in-Chief

ISSN (Print): 0929-8665
ISSN (Online): 1875-5305

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

Author(s): Hassan Mohabatkar

Volume 17 , Issue 10 , 2010

Page: [1207 - 1214] Pages: 8

DOI: 10.2174/092986610792231564

Price: $65

Abstract

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.

Keywords: Cyclins, Chou’s pseudo amino acid composition, ROC curve analysis


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