Protein & Peptide Letters

Prof. Ben M. Dunn  
Department of Biochemistry and Molecular Biology
University of Florida
College of Medicine
P.O. Box 100245
Gainesville, FL
USA
Email: bdunn@ufl.edu

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Prediction of Cyclin Proteins Using Chous Pseudo Amino Acid Composition

Author(s): Hassan Mohabatkar

Affiliation: Department of Biology, College of Sciences, Shiraz University, Shiraz 71454, Iran.

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 Chous 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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Article Details

VOLUME: 17
ISSUE: 10
Page: [1207 - 1214]
Pages: 8
DOI: 10.2174/092986610792231564
Price: $58