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.
Keywords: Cyclins, Chou’s pseudo amino acid composition, ROC curve analysis
Protein & Peptide Letters
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.
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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 |
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