String Database

STRING represents relationships that may reflect functional linkage rather than direct physical binding. Its network can therefore connect proteins through shared pathway knowledge, genomic context, co-expression, experimental evidence, or literature support. This distinction matters when interpreting a network: an edge can suggest coordinated biological involvement without demonstrating that the two proteins physically contact each other.

Confidence scores provide a way to distinguish stronger associations from less certain predictions, but they summarize the evidence available for an association rather than establishing a biological mechanism by themselves. Comparing scores helps users prioritize relationships for inspection, while the underlying evidence sources indicate why a particular connection appears in the network.

STRING combines experimental results, curated pathway and interaction knowledge, genomic context, gene co-expression, and text mining. These sources capture different kinds of support for a relationship, so viewing them together gives a broader basis for functional interpretation than relying on one evidence type alone. The resulting network can connect molecular observations with pathway and literature context.

Users can search for a protein, inspect its interaction partners, examine the associated network, and identify enriched biological processes or pathways. They can also compare network structure across organisms. This workflow moves from an individual molecular query to a broader functional view, helping organize relationships that may be relevant to a biological question or omics result.

An omics dataset can be examined through the relationships among its proteins or genes, allowing patterns to be viewed at a systems level rather than as isolated measurements. STRING helps identify associated partners and enriched processes or pathways, which can support hypothesis generation and functional interpretation. The network perspective is useful when many molecular signals require biological organization.

Cross-organism comparison can show whether network structure around a protein or set of proteins is shared or differs between organisms. This capability adds biological context to interaction analysis and can help researchers examine how functional relationships are organized across species. It is a complementary use of STRING alongside partner inspection and pathway or process enrichment.