Prediction of Cyclin Proteins Using Chous Pseudo Amino Acid Composition
Pages 1207-1214 (8)
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.
Cyclins, Chou's pseudo amino acid composition, ROC curve analysis
Department of Biology, College of Sciences, Shiraz University, Shiraz 71454, Iran.