The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
SIB Swiss Institute of Bioinformatics · Université de Strasbourg · +4 more institutions
Abstract
An essential prerequisite for any systems-level understanding of cellular functions is to correctly uncover and annotate all functional interactions among proteins in the cell. Toward this goal, remarkable progress has been made in recent years, both in terms of experimental measurements and computational prediction techniques. However, public efforts to collect and present protein interaction information have struggled to keep up with the pace of interaction discovery, partly because protein-protein interaction information can be error-prone and require considerable effort to annotate. Here, we present an update on the online database resource Search Tool for the Retrieval of Interacting Genes (STRING); it…
Citation impact
- FWCI
- 122.09
- Percentile
- 100%
- References
- 68
Authors
12- DSDamian SzklarczykCorresponding
SIB Swiss Institute of Bioinformatics
- AFAndrea Franceschini
Université de Strasbourg, Novo Nordisk Foundation, European Molecular Biology Laboratory, Inserm, Centre National de la Recherche Scientifique, SIB Swiss Institute of Bioinformatics
- MKMichael Kuhn
Inserm, Université de Strasbourg, Novo Nordisk Foundation, European Molecular Biology Laboratory, SIB Swiss Institute of Bioinformatics, Centre National de la Recherche Scientifique
- MSMilan Simonovic
Inserm, Centre National de la Recherche Scientifique, Université de Strasbourg, SIB Swiss Institute of Bioinformatics, European Molecular Biology Laboratory, Novo Nordisk Foundation
- ARAlexander Röth
Novo Nordisk Foundation, Université de Strasbourg, European Molecular Biology Laboratory, Inserm, Centre National de la Recherche Scientifique, SIB Swiss Institute of Bioinformatics
Topics & keywords
- Biology
- Computational biology
- String (physics)
- Database
- Computer science