STRING
STRING is a database of known and predicted protein–protein interactions. It covers both direct physical interactions and indirect functional associations, integrating evidence from experimental data, computational predictions, knowledge transfer between organisms, and curated interaction databases. STRING enables users to explore protein interaction networks, functional associations, and biological context across a broad range of organisms. The current STRING database covers more than 20 billion interactions between over 59 million proteins from over 12,500 organisms.
Key benefits
Integrates known and predicted protein–protein associations
Covers direct physical and indirect functional interactions
Combines evidence from experiments, databases, text mining, co-expression, and genomic context
Large organism coverage with searchable protein interaction networks
Provides web access, downloads, APIs, and Cytoscape integration
Applications
Exploration of protein interaction networks
Functional interpretation of gene or protein lists
Identification of interaction partners and pathway context
Comparative analysis of functional associations across organisms
Integration of interaction data into bioinformatics workflows
Intended use
STRING is intended for molecular biologists, bioinformaticians, systems biologists, and life science researchers who want to investigate protein interactions and functional associations. It is particularly suited for users analyzing gene or protein lists, exploring biological pathways, or integrating interaction networks into systems biology and functional genomics studies.