VLDB 2026 Research / reviewers in the wild / expert
Bianka Farkas
dblp:276/0721
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-0258-6864ORCID · 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 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein structure analysis
membrane protein analysis |
0.4 | 1 | 2020 | MemBlob database and server for identifying transmembrane regions using cryo-EM maps · Bioinform. 2020 |
Bioinformatics and computational biology › protein structure prediction › membrane protein structure prediction › transmembrane topology prediction
transmembrane helix prediction |
0.4 | 1 | 2020 | MemBlob database and server for identifying transmembrane regions using cryo-EM maps · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
cryo-EM density map analysis · 0.4TMDET algorithm · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | MemBlob database and server for identifying transmembrane regions using cryo-EM mapsabstractSUMMARY: The identification of transmembrane helices in transmembrane proteins is crucial, not only to understand their mechanism of action but also to develop new therapies. While experimental data on the boundaries of membrane-embedded regions are sparse, this information is present in cryo-electron microscopy (cryo-EM) density maps and it has not been utilized yet for determining membrane regions. We developed a computational pipeline, where the inputs of a cryo-EM map, the corresponding atomistic structure, and the potential bilayer orientation determined by TMDET algorithm of a given protein result in an output defining the residues assigned to the bulk water phase, lipid interface and the lipid hydrophobic core. Based on this method, we built a database involving published cryo-EM protein structures and a server to be able to compute this data for newly obtained structures. AVAILABILITY AND IMPLEMENTATION: http://memblob.hegelab.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Bianka Farkas, Georgina Csizmadia, Eszter Katona, Gábor E. Tusnády, Tamás Hegedüs |
Bioinform. | 1 |