Demo Data from VLDB 2026 / reviewers in the wild / expert
Bryce Daines
dblp:51/7069
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein function prediction
enzyme function prediction |
0.1 | 1 | 2009 | Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates · Bioinform. 2009 |
Bioinformatics and computational biology › protein structure analysis
protein structure annotation |
0.0 | 1 | 2009 | Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
phylogenetic analysis · 0.1evolutionary trace · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templatesabstractSUMMARY: 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. AVAILABILITY: The ETA Server is a web application available at (http://mammoth.bcm.tmc.edu/eta/). R. Matthew Ward, Eric Venner, Bryce Daines, Stephen Murray, Serkan Erdin, David M. Kristensen, Olivier Lichtarge |
Bioinform. | 3 |