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

Author(s): Hassan Mohabatkar

Journal Name: Protein & Peptide Letters

Volume 17 , Issue 10 , 2010

Become EABM
Become Reviewer
Call for Editor


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

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2010
Published on: 01 March, 2012
Page: [1207 - 1214]
Pages: 8
DOI: 10.2174/092986610792231564
Price: $65

Article Metrics

PDF: 14