Background
Type: Article

Prediction of cyclin proteins using chou's pseudo amino acid composition

Journal: Protein And Peptide Letters (09298665)Year: 2010Volume: 17Issue: Pages: 1207 - 1214
DOI:10.2174/092986610792231564Language: English

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. © 2010 Bentham Science Publishers Ltd.