Systematic and quantitative analysis of protein phosphorylation is revealing dynamic regulatory networks underlying cellular responses to environmental cues. However, matching these sites to the kinases that phosphorylate them and the phosphorylation-dependent binding domains that may subsequently bind to them remains a challenge. NetPhorest is an atlas of consensus sequence motifs that covers 179 kinases and 104 phosphorylation-dependent binding domains [Src homology 2 (SH2), phosphotyrosine binding (PTB), BRCA1 C-terminal (BRCT), WW, and 14-3-3]. The atlas reveals new aspects of signaling systems, including the observation that tyrosine kinases mutated in cancer have lower specificity than their non-oncogenic relatives. The resource is maintained by an automated pipeline, which uses phylogenetic trees to structure the currently available in vivo and in vitro data to derive probabilistic sequence models of linear motifs. The atlas is available as a community resource (http://netphorest.info).

Miller, M., Cesareni, G., Jensen, L., Diella, F., Jørgensen, C., Tinti, M., et al. (2008). Linear motif atlas for phosphorylation-dependent signaling. SCIENCE SIGNALING, 1(35), ra2-ra2 [10.1126/scisignal.1159433].

Linear motif atlas for phosphorylation-dependent signaling

CESARENI, GIOVANNI;TINTI, MICHELE;
2008-01-01

Abstract

Systematic and quantitative analysis of protein phosphorylation is revealing dynamic regulatory networks underlying cellular responses to environmental cues. However, matching these sites to the kinases that phosphorylate them and the phosphorylation-dependent binding domains that may subsequently bind to them remains a challenge. NetPhorest is an atlas of consensus sequence motifs that covers 179 kinases and 104 phosphorylation-dependent binding domains [Src homology 2 (SH2), phosphotyrosine binding (PTB), BRCA1 C-terminal (BRCT), WW, and 14-3-3]. The atlas reveals new aspects of signaling systems, including the observation that tyrosine kinases mutated in cancer have lower specificity than their non-oncogenic relatives. The resource is maintained by an automated pipeline, which uses phylogenetic trees to structure the currently available in vivo and in vitro data to derive probabilistic sequence models of linear motifs. The atlas is available as a community resource (http://netphorest.info).
2008
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore BIO/18 - GENETICA
English
Con Impact Factor ISI
Animals; 14-3-3 Proteins; Phosphotyrosine; Humans; Protein Binding; src Homology Domains; BRCA1 Protein; Phosphotransferases; Amino Acid Motifs; Phosphorylation; Databases, Protein; Consensus Sequence; Signal Transduction
Miller, M., Cesareni, G., Jensen, L., Diella, F., Jørgensen, C., Tinti, M., et al. (2008). Linear motif atlas for phosphorylation-dependent signaling. SCIENCE SIGNALING, 1(35), ra2-ra2 [10.1126/scisignal.1159433].
Miller, M; Cesareni, G; Jensen, L; Diella, F; Jørgensen, C; Tinti, M; Li, L; Hsiung, M; Parker, S; Bordeaux, J; Sicheritz Ponten, T; Olhovsky, M; Pasculescu, A; Alexander, J; Knapp, S; Blom, N; Bork, P; Li, S; Cesareni, G; Pawson, T; Turk, B; Yaffe, M; Brunak, S; Linding, R
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/87992
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