STRING: known and predicted protein-protein associations, integrated and transferred across organisms

被引:1214
作者
von Mering, C
Jensen, LJ
Snel, B
Hooper, SD
Krupp, M
Foglierini, M
Jouffre, N
Huynen, MA
Bork, P [1 ]
机构
[1] European Mol Biol Lab, Meyerhofstr 1, D-69117 Heidelberg, Germany
[2] Catholic Univ Nijmegen, Med Ctr St Radboud, Ctr Mol & Biomol Informat, Nijmegen Ctr Mol Life Sci, NL-6525 ED Nijmegen, Netherlands
关键词
D O I
10.1093/nar/gki005
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
A full description of a protein's function requires knowledge of all partner proteins with which it specifically associates. From a functional perspective 'association' can mean direct physical binding, but can also mean indirect interaction such as participation in the same metabolic pathway or cellular process. Currently, information about protein association is scattered over a wide variety of resources and model organisms. STRING aims to simplify access to this information by providing a comprehensive, yet quality-controlled collection of protein-protein associations for a large number of organisms. The associations are derived from high-throughput experimental data, from the mining of databases and literature, and from predictions based on genomic context analysis. STRING integrates and ranks these associations by benchmarking them against a common reference set, and presents evidence in a consistent and intuitive web interface. importantly, the associations are extended beyond the organism in which they were originally described, by automatic transfer to orthologous protein pairs in otherorganisms, where applicable. STRING currently holds 730000 proteins in 180 fully sequenced organisms, and is available at http://string.embl.de/.
引用
收藏
页码:D433 / D437
页数:5
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