Linear motif atlas for phosphorylation-dependent signaling.
Linear motif atlas for phosphorylation-dependent signaling.
复制标题
DOI：
10.1126/scisignal.1159433
复制
发表时间：
2008-09-02
影响因子：
7.3
通讯作者：
Linding R
中科院分区：
文献类型：
--
作者：
Miller ML;Jensen LJ;Diella F;Jørgensen C;Tinti M;Li L;Hsiung M;Parker SA;Bordeaux J;Sicheritz-Ponten T;Olhovsky M;Pasculescu A;Alexander J;Knapp S;Blom N;Bork P;Li S;Cesareni G;Pawson T;Turk BE;Yaffe MB;Brunak S;Linding R
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 pipe line, 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).
登录
查看更多内容
Pfam：氏族、网络工具和服务。
影响因子：
14.9
作者：
Finn, Robert D.;Mistry, Jaina;Schuster-Bockler, Benjamin;Griffiths-Jones, Sam;Hollich, Volker;Lassmann, Timo;Moxon, Simon;Marshall, Mhairi;Khanna, Ajay;Durbin, Richard;Eddy, Sean R.;Sonnhammer, Erik L. L.;Bateman, Alex
通讯作者：
Bateman, Alex
DOI：
10.1038/nrc1299
发表时间：
2004-03
期刊：
Nature reviews. Cancer
影响因子：
--
作者：
通讯作者：
--
影响因子：
14.9
作者：
Hulo N;Bairoch A;Bulliard V;Cerutti L;Cuche BA;de Castro E;Lachaize C;Langendijk-Genevaux PS;Sigrist CJ
通讯作者：
Sigrist CJ
影响因子：
14.9
作者：
Ceol, Arnaud;Chatr-aryamontri, Andrew;Cesareni, Gianni
通讯作者：
Cesareni, Gianni
影响因子：
48
作者：
Bodenmiller, Bernd;Mueller, Lukas N.;Aebersold, Ruedi
通讯作者：
Aebersold, Ruedi