Skip Navigation


Nucleic Acids Research Advance Access originally published online on November 2, 2007
Nucleic Acids Research 2008 36(Database issue):D695-D699; doi:10.1093/nar/gkm902
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (2568K) Freely available
Right arrow Screen PDF (408K) Freely available
Right arrowOA All Versions of this Article:
36/suppl_1/D695    most recent
gkm902v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Linding, R.
Right arrow Articles by Pawson, T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Linding, R.
Right arrow Articles by Pawson, T.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nucleic Acids Research, 2008, Vol. 36, Database issue D695-D699
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

NetworKIN: a resource for exploring cellular phosphorylation networks

Rune Linding1,2,3,*, Lars Juhl Jensen4, Adrian Pasculescu1, Marina Olhovsky1, Karen Colwill1, Peer Bork4,5, Michael B. Yaffe2 and Tony Pawson1

1Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Canada, 2Center for Cancer Research, Massachusetts Institute of Technology, Cambridge, USA, 3The Institute of Cancer Research, London, UK, 4European Molecular Biology Laboratory, Heidelberg and 5Max-Delbrück-Centre for Molecular Medicine, Berlin, Germany

*To whom correspondence should be addressed. Tel: + 1 416 586 4800; Fax: + 1 416 586 8869; Email: linding{at}mshri.on.ca Correspondence may also be addressed to Tony Pawson. Tel: + 1 416 586 8262; Fax: + 1 416 586 8869; Email: pawson{at}mshri.on.ca

Received August 13, 2007. Revised October 3, 2007. Accepted October 4, 2007.

Protein kinases control cellular responses by phosphorylating specific substrates. Recent proteome-wide mapping of protein phosphorylation sites by mass spectrometry has discovered thousands of in vivo sites. Systematically assigning all 518 human kinases to all these sites is a challenging problem. The NetworKIN database (http://networkin.info) integrates consensus substrate motifs with context modelling for improved prediction of cellular kinase–substrate relations. Based on the latest human phosphoproteome from the Phospho.ELM and PhosphoSite databases, the resource offers insight into phosphorylation-modulated interaction networks. Here, we describe how NetworKIN can be used for both global and targeted molecular studies. Via the web interface users can query the database of precomputed kinase–substrate relations or obtain predictions on novel phosphoproteins. The database currently contains a predicted phosphorylation network with 20 224 site-specific interactions involving 3978 phosphoproteins and 73 human kinases from 20 families.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Sci SignalHome page
M. L. Miller, L. J. Jensen, F. Diella, C. Jorgensen, M. Tinti, L. Li, M. Hsiung, S. A. Parker, J. Bordeaux, T. Sicheritz-Ponten, et al.
Linear Motif Atlas for Phosphorylation-Dependent Signaling
Sci. Signal., September 2, 2008; 1(35): ra2 - ra2.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
L. Li, C. Wu, H. Huang, K. Zhang, J. Gan, and S. S.-C. Li
Prediction of phosphotyrosine signaling networks using a scoring matrix-assisted ligand identification approach
Nucleic Acids Res., June 1, 2008; 36(10): 3263 - 3273.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.