Title
Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates.
Abstract
The Evolutionary Trace Annotation (ETA) Server predicts enzymatic activity. ETA starts with a structure of unknown function, such as those from structural genomics, and with no prior knowledge of its mechanism uses the phylogenetic Evolutionary Trace (ET) method to extract key functional residues and propose a function-associated 3D motif, called a 3D template. ETA then searches previously annotated structures for geometric template matches that suggest molecular and thus functional mimicry. In order to maximize the predictive value of these matches, ETA next applies distinctive specificity filters-evolutionary similarity, function plurality and match reciprocity. In large scale controls on enzymes, prediction coverage is 43% but the positive predictive value rises to 92%, thus minimizing false annotations. Users may modify any search parameter, including the template. ETA thus expands the ET suite for protein structure annotation, and can contribute to the annotation efforts of metaservers.
Year
DOI
Venue
2009
10.1093/bioinformatics/btp160
BIOINFORMATICS
Keywords
Field
DocType
protein structure,proteins,enzyme,internet,protein conformation,computational biology,phylogeny,structural genomics,template matching,enzymes
Data mining,Structural genomics,Phylogenetic tree,Annotation,Computer science,Molecular evolution,Bioinformatics,Web application,Phylogenetics,Structure function
Journal
Volume
Issue
ISSN
25
11
1367-4803
Citations 
PageRank 
References 
7
0.55
6
Authors
7
Name
Order
Citations
PageRank
R. Matthew Ward1702.50
Eric Venner2182.06
Bryce Daines370.55
Stephen Murray470.55
Serkan Erdin5632.80
David M. Kristensen61428.54
Olivier Lichtarge718218.68