The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
SIB Swiss Institute of Bioinformatics · University of Zurich · +9 more institutions
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)…
Citation impact
- FWCI
- 388.89
- Percentile
- 100%
- References
- 59
Authors
12- DSDamian Szklarczyk
SIB Swiss Institute of Bioinformatics, University of Zurich
- JHJohn H. Morris
University of California, San Francisco, Biocom
- HCHelen Cook
University of Copenhagen, Novo Nordisk Foundation
- MKMichael Kuhn
European Molecular Biology Laboratory
- SWStefan Wyder
SIB Swiss Institute of Bioinformatics, University of Zurich
Topics & keywords
- Biology
- String (physics)
- Association (psychology)
- Computational biology
- Database
- Genetics
- Computer science