ETAscape: analyzing protein networks to predict enzymatic function and substrates in Cytoscape.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 22689386.
- Also identified by DOI 10.1093/bioinformatics/bts331 and PMC identifier 3413384.
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Abstract
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. The ETA Network Plugin is available publicly for download at http://mammoth.bcm.tmc.edu/networks/.
Medical subject headings
- Computational Biology
- Proteins
- Software