NetworKIN: a resource for exploring cellular phosphorylation networks

被引:261
作者
Linding, Rune [1 ,2 ,3 ]
Jensen, Lars Juhl
Pasculescu, Adrian [1 ]
Olhovsky, Marina [1 ]
Colwill, Karen [1 ]
Bork, Peer [4 ,5 ]
Yaffe, Michael B. [2 ]
Pawson, Tony [1 ]
机构
[1] Mt Sinai Hosp, Samuel Lunenfeld Res Inst, Toronto, ON, Canada
[2] MIT, Cambridge, MA 02139 USA
[3] Inst Canc Res, London SW3 6JB, England
[4] European Mol Biol Lab, Heidelberg, Germany
[5] Max Delbruck Ctr Mol Med, Berlin, Germany
关键词
D O I
10.1093/nar/gkm902
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:D695 / D699
页数:5
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