Analysis of protein phosphorylation site predictors with an independent dataset. (9th January 2009)

• Record Type: Journal Article
• Authors: Sikder, Abdur R.; Zomaya, Albert Y.
• Is Part Of: International journal of bioinformatics research and applications. Volume 5:Number 1(2009)
• Page Start: 20
• Page End: 37
• Publication Date: 2009-01-09
• Subjects: protein phosphorylation sites -- prediction -- internet -- analysis -- methods -- post-translational -- substrate -- protein kinase families -- active site -- algorithms -- bioinformatics -- cellular regulatory pathways -- phosphoproteomic data; Bioinformatics -- Periodicals; 570.285
• Languages: English
• ISSNs: 1744-5485

Abstract

Protein phosphorylation plays a fundamental role in most of the cellular regulatory pathways. Experimental detection of protein phosphorylation sites is labour intensive and often limited by the availability and optimisation of enzymatic reactions. The in silico prediction of phosphorylation sites using protein's primary sequences may provide guidelines for further experimental consideration and interpretation of phosphoproteomic data. An array of such tools exists over the internet and provides the prediction for protein kinase families. We developed an independent dataset to compare the performances of these methods to provide scientists with a better understanding of which method to use for their research.