Demo Data from EDBT 2026 / reviewers in the wild / expert
Sushama Michael
dblp:05/6528
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2008
0000-0001-8801-3196ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein function prediction |
0.1 | 1 | 2008 | Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservation · Bioinform. 2008 |
Bioinformatics and computational biology › sequence analysis › motif discovery
short linear motif discovery |
0.1 | 1 | 2008 | Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservation · Bioinform. 2008 |
Bioinformatics and computational biology › protein structure prediction
protein disorder prediction |
0.0 | 1 | 2008 | Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservation · Bioinform. 2008 |
Bioinformatics and computational biology
protein structure prediction |
0.0 | 1 | 2008 | Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservation · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
native disorder prediction · 0.1motif conservation analysis · 0.1keyword enrichment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservationabstractMOTIVATION: KEN-box-mediated target selection is one of the mechanisms used in the proteasomal destruction of mitotic cell cycle proteins via the APC/C complex. While annotating the Eukaryotic Linear Motif resource (ELM, http://elm.eu.org/), we found that KEN motifs were significantly enriched in human protein entries with cell cycle keywords in the UniProt/Swiss-Prot database-implying that KEN-boxes might be more common than reported. RESULTS: Matches to short linear motifs in protein database searches are not, per se, significant. KEN-box enrichment with cell cycle Gene Ontology terms suggests that collectively these motifs are functional but does not prove that any given instance is so. Candidates were surveyed for native disorder prediction using GlobPlot and IUPred and for motif conservation in homologues. Among >25 strong new candidates, the most notable are human HIPK2, CHFR, CDC27, Dab2, Upf2, kinesin Eg5, DNA Topoisomerase 1 and yeast Cdc5 and Swi5. A similar number of weaker candidates were present. These proteins have yet to be tested for APC/C targeted destruction, providing potential new avenues of research. Sushama Michael, Gilles Travé, Chenna Ramu, Claudia Chica, Toby J. Gibson |
Bioinform. | 1 |