title: Predicting protein kinase specificity: Predikin update and performance in the DREAM4 challenge.
abstract: Predikin is a system for making predictions about protein kinase specificity. It was declared the "best performer" in the protein kinase section of the Peptide Recognition Domain specificity prediction category of the recent DREAM4 challenge (an independent test using unpublished data). In this article we discuss some recent improvements to the Predikin web server--including a more streamlined approach to substrate-to-kinase predictions and whole-proteome predictions--and give an analysis of Predikin's performance in the DREAM4 challenge. We also evaluate these improvements using a data set of yeast kinases that have been experimentally characterised, and we discuss the usefulness of Frobenius distance in assessing the predictive power of position weight matrices.
authors.affiliation: School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Centre for Infectious Disease Research, University of Queensland, Brisbane, Queensland, Australia. jonathan.ellis.research@gmail.com
authors.forename: Jonathan J
authors.initials: JJ
authors.lastname: Ellis
authors.forename: Boštjan
authors.initials: B
authors.lastname: Kobe
mesh_terms: D006801:Humans; D010766:Phosphorylation; D011485:Protein Binding; D011494:Protein Kinases / Q000737:chemistry / Q000378:metabolism*; D020543:Proteome / Q000378:metabolism*; D020539:Sequence Analysis, Protein; D012984:Software; D013379:Substrate Specificity
chemical_list: D020543:Proteome; D011494:Protein Kinases