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

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

Volume: 17 Issue: 10

Author(s): Hassan Mohabatkar

Affiliation:

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

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.

Cite this article as:

Mohabatkar Hassan, Prediction of Cyclin Proteins Using Chou's Pseudo Amino Acid Composition, Protein & Peptide Letters 2010; 17 (10) . https://dx.doi.org/10.2174/092986610792231564

DOI https://dx.doi.org/10.2174/092986610792231564	Print ISSN 0929-8665
Publisher Name Bentham Science Publisher	Online ISSN 1875-5305