Learn to use STRING, a database of known and predicted protein-protein interactions. Predictions are based on a series of evidences such as gene neighborhood, patterns of co-expression, text-mining of the literature and more. STRING allows the user to view data from individual evidences of interaction or view a 'network' of interactions among a collection of proteins. Learn to use this resource and find interaction predictions to facilitate characterization of gene and protein function.

You will learn:

  • how to search for predicted interactions with a selected gene product
  • how to view networks of interactions among individual molecules or COGs
  • the many types of evidences of interaction and how to analyze them
  • how to find information from outside sources used in the predictions


This tutorial is a part of the tutorial group Text-related tools. You might find the other tutorials in the group interesting:

PubMatrix: PubMatrix, an on-line tool for multiplex literature mining of the PubMed database.

iHOP: Information Hyperlinked Over Proteins text mining resource

Textpresso: Text-mining the biological literature

Gene Ontology: Gene Ontology controlled vocabularies in biology

XplorMed: eXploring Medline abstracts

GoMiner: Ascribe biological significance to large lists of genes by annotating them with their corresponding GO categories

Controlled Vocabularies: Standardized term lists that can enhance interactions with biological databases

DAVID: A tool that analyzes large lists of genes to provide biological meaning

Entrez Overview: Overview of NCBI's Entrez Search Resource

PubMed: PubMed access to biomedical research literature


Literature and Text Mining : Tools which are related to scientific literature. Repositories, query tools, and mining resources are included.

Pathways and Interactions : Tools that are involved with protein interactions and pathway features. Some tools are primarily repositories and some offer analysis options.

Proteins : Tools that are primarily used in the storage, retrieval, or exploration of amino acid based data. Some tools may also involve nucleotide sequence information.


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Recent BioMed Central research articles citing this resource

Lu Yiding et al., Link prediction in drug-target interactions network using similarity indices Networks analysis. BMC Bioinformatics (2017) doi:10.1186/s12859-017-1460-z

Aqrawi A. Lara et al., Identification of potential saliva and tear biomarkers in primary Sjögren’s syndrome, utilising the extraction of extracellular vesicles and proteomics analysis. Arthritis Research Therapy (2017) doi:10.1186/s13075-017-1228-x

Lateef Zabeen et al., Transcriptomic analysis of human norovirus NS1-2 protein highlights a multifunctional role in murine monocytes Transcriptomic methods. BMC Genomics (2017) doi:10.1186/s12864-016-3417-4

Grabowski M. Jeffrey et al., RNAi reveals proteins for metabolism and protein processing associated with Langat virus infection in Ixodes scapularis (black-legged tick) ISE6 cells. Parasites Vectors (2017) doi:10.1186/s13071-016-1944-0

Rahmatallah Yasir et al., GSAR: Bioconductor package for Gene Set analysis in R Comparative genomics. BMC Bioinformatics (2017) doi:10.1186/s12859-017-1482-6