STRING

[1][2][3][4][5][6] The STRING database contains information from numerous sources, including experimental data, computational prediction methods and public text collections.

STRING has been developed by a consortium of academic institutions including CPR, EMBL, KU, SIB, TUD and UZH.

Like many other databases that store protein association knowledge, STRING imports data from experimentally derived protein–protein interactions through literature curation.

[8] All predicted or imported interactions are benchmarked against a common reference of functional partnership as annotated by KEGG (Kyoto Encyclopedia of Genes and Genomes).

A large body of scientific texts (SGD, OMIM, FlyBase, PubMed) are parsed to search for statistically relevant co-occurrences of gene names.

Protein–protein interaction network visualized by STRING. In this view, the color saturation of the edges represents the confidence score of a functional association