title: Prediction of cyclin proteins using Chou's pseudo amino acid composition.
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.
authors.affiliation: Department of Biology, College of Sciences, Shiraz University, Shiraz 71454, Iran. mohabat@shirazu.ac.ir
authors.forename: Hassan
authors.initials: H
authors.lastname: Mohabatkar
mesh_terms: D000595:Amino Acid Sequence; D019295:Computational Biology / Q000379:methods*; D016213:Cyclins / Q000737:chemistry* / Q000235:genetics*; D008969:Molecular Sequence Data; D012372:ROC Curve
chemical_list: D016213:Cyclins