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PMID: 27924014 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.

Nucleic acids research ·Vol. 45 ·No. D1 ·2017-00-04 ·Pages D362-D368

Szklarczyk D, Morris JH, Cook H, Kuhn M, Wyder S, Simonovic M, Santos A, Doncheva NT, Roth A, Bork P, Jensen LJ, von Mering C

Abstract

A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating known and predicted protein-protein association data for a large number of organisms. The associations in STRING include direct (physical) interactions, as well as indirect (functional) interactions, as long as both are specific and biologically meaningful. Apart from collecting and reassessing available experimental data on protein-protein interactions, and importing known pathways and protein complexes from curated databases, interaction predictions are derived from the following sources: (i) systematic co-expression analysis, (ii) detection of shared selective signals across genomes, (iii) automated text-mining of the scientific literature and (iv) computational transfer of interaction knowledge between organisms based on gene orthology. In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework. Further improvements include automated background analysis of user inputs for functional enrichments, and streamlined download options. The STRING resource is available online, at http://string-db.org/.

MeSH Terms
Computational Biology/methods Databases, Protein Models, Molecular Protein Binding Protein Conformation Protein Interaction Mapping Protein Interaction Maps Proteins/chemistry,metabolism Software Structure-Activity Relationship User-Computer Interface Web Browser
Chemicals
Proteins
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Szklarczyk Damian
Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland.
Morris John H
Resource on Biocomputing, Visualization, and Informatics, University of California, San Francisco, CA 94158-2517, USA.
Cook Helen
Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark.
Kuhn Michael
Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Wyder Stefan
Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland.
Simonovic Milan
Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland.
Santos Alberto
Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark.
Doncheva Nadezhda T
Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark.
Roth Alexander
Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland.
Bork Peer
Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany [email protected]. | Molecular Medicine Partnership Unit, University of Heidelberg and European Molecular Biology Laboratory, 69117 Heidelberg, Germany. | Max Delbrück Centre for Molecular Medicine, 13125 Berlin, Germany. | Department of Bioinformatics, Biocenter, University of Würzburg, 97074 Würzburg, Germany.
Jensen Lars J
Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark [email protected].
von Mering Christian ORCID
Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland [email protected].
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2017-00-04
Epub
2016-00-18
Pages
D362-D368
Language
English
Region
England
NLM ID
0411011
PMCID
PMC5210637
Subset
IM
Grants
NIGMS NIH HHS · P41 GM103311 · United States
NIGMS NIH HHS · P41 GM103504 · United States
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