title: Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase.
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.
authors.affiliation: Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, UK. am8@sanger.ac.uk
authors.forename: Alan M
authors.initials: AM
authors.lastname: Moses
authors.forename: Jean-Karim
authors.initials: JK
authors.lastname: Hériché
authors.forename: Richard
authors.initials: R
authors.lastname: Durbin
mesh_terms: D020816:Amino Acid Motifs / Q000235:genetics*; D019295:Computational Biology / Q000379:methods*; D018844:Cyclin-Dependent Kinases / Q000378:metabolism*; D006801:Humans; D008957:Models, Genetic; D010766:Phosphorylation; D011506:Proteins / Q000235:genetics* / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*; D015003:Yeasts
chemical_list: D011506:Proteins; D018844:Cyclin-Dependent Kinases