Helmholtz Gemeinschaft


STRING v9.1: protein-protein interaction networks, with increased coverage and integration

[img] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Item Type:Article
Title:STRING v9.1: protein-protein interaction networks, with increased coverage and integration
Creators Name:Franceschini, A. and Szklarczyk, D. and Frankild, S. and Kuhn, M. and Simonovic, M. and Roth, A. and Lin, J. and Minguez, P. and Bork, P. and von Mering, C. and Jensen, L.J.
Abstract:Complete knowledge of all direct and indirect interactions between proteins in a given cell would represent an important milestone towards a comprehensive description of cellular mechanisms and functions. Although this goal is still elusive, considerable progress has been made-particularly for certain model organisms and functional systems. Currently, protein interactions and associations are annotated at various levels of detail in online resources, ranging from raw data repositories to highly formalized pathway databases. For many applications, a global view of all the available interaction data is desirable, including lower-quality data and/or computational predictions. The STRING database (http://string-db.org/) aims to provide such a global perspective for as many organisms as feasible. Known and predicted associations are scored and integrated, resulting in comprehensive protein networks covering >1100 organisms. Here, we describe the update to version 9.1 of STRING, introducing several improvements: (i) we extend the automated mining of scientific texts for interaction information, to now also include full-text articles; (ii) we entirely re-designed the algorithm for transferring interactions from one model organism to the other; and (iii) we provide users with statistical information on any functional enrichment observed in their networks.
Keywords:Algorithms, Data Mining, Internet, Protein Databases, Protein Interaction Mapping, Statistical Data Interpretation, Systems Integration, User-Computer Interface
Source:Nucleic Acids Research
Publisher:Oxford University Press
Page Range:D808-D815
Date:1 January 2013
Official Publication:https://doi.org/10.1093/nar/gks1094
PubMed:View item in PubMed

Repository Staff Only: item control page


Downloads per month over past year

Open Access
MDC Library