Demo Data from EDBT 2026 / reviewers in the wild / expert
Miriam Krugliak
dblp:131/9960
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural biology › protein structure and function
protein structure and interaction |
0.2 | 1 | 2013 | Self-interaction of transmembrane helices representing pre-clusters from the human single-span membrane proteins · Bioinform. 2013 |
Bioinformatics and computational biology › protein sequence analysis
protein sequence clustering |
0.0 | 1 | 2013 | Self-interaction of transmembrane helices representing pre-clusters from the human single-span membrane proteins · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
sequence similarity thresholding · 0.2mutational analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Self-interaction of transmembrane helices representing pre-clusters from the human single-span membrane proteinsabstractMOTIVATION: Most integral membrane proteins form dimeric or oligomeric complexes. Oligomerization is frequently supported by the non-covalent interaction of transmembrane helices. It is currently not clear how many high-affinity transmembrane domains (TMD) exist in a proteome and how specific their interactions are with respect to preferred contacting faces and their underlying residue motifs. RESULTS: We first identify a threshold of 55% sequence similarity, which demarcates the border between meaningful alignments of TMDs and chance alignments. Clustering the human single-span membrane proteome using this threshold groups ~40% of the TMDs. The homotypic interaction of the TMDs representing the 33 largest clusters was systematically investigated under standardized conditions. The results reveal a broad distribution of relative affinities. High relative affinity frequently coincides with (i) the existence of a preferred helix-helix interface and (ii) sequence specificity as indicated by reduced affinity after mutating conserved residues. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Jan Kirrbach, Miriam Krugliak, Christian L. Ried, Philipp Pagel, Isaiah T. Arkin, Dieter Langosch |
Bioinform. | 2 |