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

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.