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STRING is a database that provides comprehensive information on protein-protein interaction networks and functional enrichment analysis.
STRING is a database of known and predicted protein-protein interactions. The interactions include direct (physical) and indirect (functional) associations; they stem from computational prediction, from knowledge transfer between organisms, and from interactions aggregated from other (primary) databases.
The basic principle. In STRING, each protein-protein interaction is annotated with one or more 'scores'. Importantly, these scores do not indicate the strength or the specificity of the interaction. Instead, they are indicators of confidence, i.e. how likely STRING judges an interaction to be true, given the available evidence.
Starting Point. To specify your desired starting point of the analysis you have to use the input form at the STRING start page. Protein by name. Protein by sequence. Multiple proteins. Multiple sequences. Organisms. Protein families (COGs) Examples.
STRING is part of the ELIXIR infrastructure: it is one of ELIXIR's Core Data Resources. Learn more >
STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations; they are derived from four sources: Genomic Context
Jan 8, 2021 · The STRING database aims to integrate all known and predicted associations … Cellular life depends on a complex web of functional associations between biomolecules. Among these associations, protein-protein interactions are particularly important due to their versatility, specificity and adaptability.
Jan 1, 2021 · In addition, we describe how to query STRING with genome-wide, experimental data, including the automated detection of enriched functionalities and potential biases in the user's query data. The STRING resource is available online, at https://string-db.org/.
Jan 1, 2019 · The STRING database aims to collect, score and integrate all publicly available sources of protein–protein interaction information, and to complement these with computational predictions. Its goal is to achieve a comprehensive and objective global network, including direct (physical) as well as indirect (functional) interactions.
Nov 25, 2020 · In addition, we describe how to query STRING with genome-wide, experimental data, including the automated detection of enriched functionalities and potential biases in the user's query data. The STRING resource is available online, at https://string-db.org/ .
