STRING v10: protein–protein interaction networks, integrated over the tree of life

STRING v10: protein–protein interaction networks, integrated over the tree of life

2015, Vol. 43, Database issue | Damian Szklarczyk1, Andrea Franceschini1, Stefan Wyder1, Kristoffer Forslund2, Davide Heller1, Jaime Huerta-Cepas2, Milan Simonovic1, Alexander Roth1, Alberto Santos3, Kalliopi P. Tsafou3, Michael Kuhn4,5, Peer Bork2,*, Lars J. Jensen3,* and Christian von Mering1,*
The STRING database (Search Tool for the Retrieval of Interacting Genes/Proteins) provides a comprehensive resource for characterizing protein-protein interactions, including both direct (physical) and indirect (functional) associations. Version 10.0 of STRING covers over 2000 organisms and introduces novel algorithms for transferring interaction information between organisms. Key improvements include hierarchical and self-consistent orthology annotations, a redesigned prediction pipeline for co-expression data, an API interface for the R computing environment, and enhanced statistical analysis for enrichment tests in user-provided networks. The database integrates curated experimental data, computational predictions, and orthologous group information, offering a robust framework for understanding protein functions and their interactions across the tree of life.The STRING database (Search Tool for the Retrieval of Interacting Genes/Proteins) provides a comprehensive resource for characterizing protein-protein interactions, including both direct (physical) and indirect (functional) associations. Version 10.0 of STRING covers over 2000 organisms and introduces novel algorithms for transferring interaction information between organisms. Key improvements include hierarchical and self-consistent orthology annotations, a redesigned prediction pipeline for co-expression data, an API interface for the R computing environment, and enhanced statistical analysis for enrichment tests in user-provided networks. The database integrates curated experimental data, computational predictions, and orthologous group information, offering a robust framework for understanding protein functions and their interactions across the tree of life.
Reach us at info@study.space