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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: . | Method Open Access Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase Alan M Moses Jean-Karim Hériché and Richard Durbin Address Wellcome Trust Sanger Institute Wellcome Trust Genome Campus Hinxton Cambridge CB10 1HH UK. Correspondence Alan M Moses. Email am8@sanger.ac.uk Published 22 February 2007 Genome Biology 2007 8 R23 doi 10.1 186 gb-2007-8-2-r23 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2007 8 2 R23 Received 29 September 2006 Revised 16 January 2007 Accepted 22 February 2007 2007 Moses et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. Background Protein kinases are ubiquitous components of cellular signalling networks 1 . A relatively well understood example is the network that controls progression of the cell cycle where cyc-lin-dependent kinases CDKs couple with various cyclins over the cell cycle to regulate critical processes 2-4 . Despite their biological and medical importance relatively few direct in vivo targets of these kinases have been identified conclusively because experimental techniques are difficult and time consuming 1 5 . With the .
