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ETAscape: analyzing protein networks to predict enzymatic function and substrates in Cytoscape

Title: ETAscape: analyzing protein networks to predict enzymatic function and substrates in Cytoscape
Authors: Bachman, Benjamin J.; Venner, Eric; Lua, Rhonald C.; Erdin, Serkan; Lichtarge, Olivier
Publisher Information: Oxford University Press
Publication Year: 2012
Collection: HighWire Press (Stanford University)
Subject Terms: APPLICATIONS NOTE
Description: Summary: Most proteins lack experimentally validated functions. To address this problem, we implemented the Evolutionary Trace Annotation (ETA) method in the Cytoscape network visualization environment. The result is the ETAscape plugin, which builds a structural genomics network based on local structural and evolutionary similarities among proteins and then globally diffuses known annotations across the resulting network. The plugin displays these novel functional annotations, their confidence, the molecular basis for individual matches and the set of matches that lead to a prediction. Availability: The ETA Network Plugin is available publicly for download at http://mammoth.bcm.tmc.edu/networks/ . Contact: lichtarge@bcm.edu
Document Type: text
File Description: text/html
Language: English
Relation: http://bioinformatics.oxfordjournals.org/cgi/content/short/bts331v1; http://dx.doi.org/10.1093/bioinformatics/bts331
DOI: 10.1093/bioinformatics/bts331
Availability: http://bioinformatics.oxfordjournals.org/cgi/content/short/bts331v1; https://doi.org/10.1093/bioinformatics/bts331
Rights: Copyright (C) 2012, Oxford University Press
Accession Number: edsbas.213C9021
Database: BASE