The Predikin webserver: improved prediction of protein kinase peptide specificity using structural information

Saunders, Neil F. W. and Kobe, Bostjan (2008) The Predikin webserver: improved prediction of protein kinase peptide specificity using structural information. Nucleic Acids Research, 36 suppl 2: W286-W290. doi:10.1093/nar/gkn279


Author Saunders, Neil F. W.
Kobe, Bostjan
Title The Predikin webserver: improved prediction of protein kinase peptide specificity using structural information
Journal name Nucleic Acids Research   Check publisher's open access policy
ISSN 0305-1048
1362-4962
Publication date 2008-01-01
Year available 2008
Sub-type Article (original research)
DOI 10.1093/nar/gkn279
Open Access Status DOI
Volume 36
Issue suppl 2
Start page W286
End page W290
Total pages 5
Editor M. Gait
R. J. Roberts
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Abstract The Predikin webserver allows users to predict substrates of protein kinases. The Predikin system is built from three components: a database of protein kinase substrates that links phosphorylation sites with specific protein kinase sequences; a perl module to analyse query protein kinases and a web interface through which users can submit protein kinases for analysis. The Predikin perl module provides methods to (i) locate protein kinase catalytic domains in a sequence, (ii) classify them by type or family, (iii) identify substrate-determining residues, (iv) generate weighted scoring matrices using three different methods, (v) extract putative phosphorylation sites in query substrate sequences and (vi) score phosphorylation sites for a given kinase, using optional filters. The web interface provides user-friendly access to each of these functions and allows users to obtain rapidly a set of predictions that they can export for further analysis. The server is available at http://predikin.biosci.uq.edu.au.
Keyword Biochemistry & Molecular Biology
Biochemistry & Molecular Biology
BIOCHEMISTRY & MOLECULAR BIOLOGY
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
School of Chemistry and Molecular Biosciences
 
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Created: Sat, 07 Mar 2009, 00:50:58 EST by Jennifer Falknau on behalf of School of Chemistry & Molecular Biosciences