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Predicting Protein Kinase Specificity: Predikin Update and Performance in the DREAM4 Challenge

Authors: Ellis, Jonathan J.; Kobe, Bostjan;

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Peptide Recognition Domain specificity prediction category of the recent DREAM4 challenge (an independent test using unpublished data).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.

Keywords

Resource, 571, 1300 Biochemistry, Proteome, Science, Substrate-Specificity, Genetics and Molecular Biology, Substrate Specificity, 1100 Agricultural and Biological Sciences, Sequence Analysis, Protein, Humans, Phosphorylation, Linear Motifs, Q, R, Peptide Specificity, 2700 Medicine, Domains, Medicine, Protein Kinases, Software, Research Article, Protein Binding

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    impulse
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    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
39
Average
Top 10%
Top 10%
Green
gold