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Protein & Peptide Letters
ISSN (Print): 0929-8665
ISSN (Online): 1875-5305
VOLUME: 17
ISSUE: 10
DOI: 10.2174/092986610792231564      Price:  $58









Prediction of Cyclin Proteins Using Chous Pseudo Amino Acid Composition

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Author(s): Hassan Mohabatkar
Pages 1207-1214 (8)
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
Affiliation:
Department of Biology, College of Sciences, Shiraz University, Shiraz 71454, Iran.