PTMcode: a database of known and predicted functional associations between post-translational modifications in proteins

被引:108
作者
Minguez, Pablo [1 ]
Letunic, Ivica [2 ]
Parca, Luca [3 ]
Bork, Peer [1 ,4 ]
机构
[1] European Mol Biol Lab, D-69117 Heidelberg, Germany
[2] Biobyte Solut GmbH, D-69126 Heidelberg, Germany
[3] Univ Roma Tor Vergata, Ctr Mol Bioinformat, Dept Biol, I-00133 Rome, Italy
[4] Max Delbruck Ctr Mol Med, Berlin, Germany
关键词
LYSINE ACETYLATION; PHOSPHORYLATION; NETWORKS; GLYCOSYLATION; EVOLUTIONARY; RESIDUES;
D O I
10.1093/nar/gks1230
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
Post-translational modifications (PTMs) are involved in the regulation and structural stabilization of eukaryotic proteins. The combination of individual PTM states is a key to modulate cellular functions as became evident in a few well-studied proteins. This combinatorial setting, dubbed the PTM code, has been proposed to be extended to whole proteomes in eukaryotes. Although we are still far from deciphering such a complex language, thousands of protein PTM sites are being mapped by high-throughput technologies, thus providing sufficient data for comparative analysis. PTMcode (http://ptmcode.embl.de) aims to compile known and predicted PTM associations to provide a framework that would enable hypothesis-driven experimental or computational analysis of various scales. In its first release, PTMcode provides PTM functional associations of 13 different PTM types within proteins in 8 eukaryotes. They are based on five evidence channels: a literature survey, residue co-evolution, structural proximity, PTMs at the same residue and location within PTM highly enriched protein regions (hotspots). PTMcode is presented as a protein-based searchable database with an interactive web interface providing the context of the co-regulation of nearly 75 000 residues in > 10 000 proteins.
引用
收藏
页码:D306 / D311
页数:6
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