Demo Data from VLDB 2026 / reviewers in the wild / expert
Isaac A. Hubner
dblp:63/1090
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein sequence analysis
residue conservation |
0.1 | 1 | 2005 | CoC: a database of universally conserved residues in protein folds · Bioinform. 2005 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | CoC: a database of universally conserved residues in protein foldsabstractSummary: The conservatism of conservatism (CoC) database presents statistically analyzed information about the conservation of residue positions in folds across protein families. Availability: On the web at http://kulibin.mit.edu/coc/ Contact: [email protected] Supplementary information: The website details the method and contains an FAQ and documentation, http://kulibin.mit.edu/coc/ Jason E. Donald, Isaac A. Hubner, Veronica Rotemberg, Eugene I. Shakhnovich, Leonid A. Mirny |
Bioinform. | 2 |