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PMID: 17316440 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase.

Genome biology ·Vol. 8 ·No. 2 ·2007-00-00 ·Pages R23

Moses AM, Hériché JK, Durbin R

Abstract

Protein kinases are critical to cellular signalling and post-translational gene regulation, but their biological substrates are difficult to identify. We show that cyclin-dependent kinase (CDK) consensus motifs are frequently clustered in CDK substrate proteins. Based on this, we introduce a new computational strategy to predict the targets of CDKs and use it to identify new biologically interesting candidates. Our data suggest that regulatory modules may exist in protein sequence as clusters of short sequence motifs.

MeSH Terms
Amino Acid Motifs/genetics Computational Biology/methods Cyclin-Dependent Kinases/metabolism Humans Models, Genetic Phosphorylation Proteins/genetics,metabolism Proteomics/methods Yeasts
Chemicals
Proteins Cyclin-Dependent Kinases
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Moses Alan M
Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, UK. am8@sanger.ac.uk
Hériché Jean-Karim
Durbin Richard
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Article Info
Journal
Genome biology
Abbr.
Genome Biol
ISSN
1474-760X
DOI
10.1186/gb-2007-8-2-r23
Email
am8@sanger.ac.uk
Published
2007-00-00
Pages
R23
Language
English
Region
England
NLM ID
100960660
PMCID
PMC1852407
Subset
IM
Grants
Wellcome Trust · United Kingdom
External Links
PubMed source DOI: 10.1186/gb-2007-8-2-r23 PMC Full Text View journal details
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