Demo Data from VLDB 2026 / reviewers in the wild / expert
Patrick C. Maaß
dblp:20/4373
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—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% | |
| Theoretical computer science
1 paper |
Computational geometry · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural bioinformatics
molecular complex visualization |
0.1 | 1 | 2006 | Molecular complexes at a glance: automated generation of two-dimensional complex diagrams · Bioinform. 2006 |
Bioinformatics and computational biology
structural bioinformatics |
0.1 | 1 | 2006 | Molecular complexes at a glance: automated generation of two-dimensional complex diagrams · Bioinform. 2006 |
Computational geometry
graph drawing |
0.1 | 1 | 2006 | Molecular complexes at a glance: automated generation of two-dimensional complex diagrams · Bioinform. 2006 |
Methods — techniques the papers use, named apart from their topics
combinatorial optimization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Molecular complexes at a glance: automated generation of two-dimensional complex diagramsabstractMOTIVATION: In this paper a new algorithmic approach is presented, which automatically generates structure diagrams of molecular complexes. A complex diagram contains the ligand, the amino acids of the protein interacting with the ligand and the hydrophilic interactions schematized as dashed lines between the corresponding atoms. The algorithm is based on a combinatorial optimization strategy which solves parts of the layout problem non-heuristically. The depicted molecules are represented as structure diagrams according to the chemical nomenclature. Due to the frequent usage of complex diagrams in the scientific literature as well as in text books dealing with structural biology, biochemistry and medicinal chemistry, the new algorithm is a key element for computer applications in these areas. RESULTS: The method was implemented in the new software tool PoseView. It was tested on a representative dataset containing 305 protein-ligand complexes in total from the Brookhaven Protein Data Bank. PoseView was able to find collision-free layouts for more than three quarters of all complexes. In the following the layout generation algorithm is presented and, additional to the statistical results, representative test cases demonstrating the challenges of the layout generation will be discussed. AVAILABILITY: The method is available as a webservice at http://www.zbh.uni-hamburg.de/poseview. Katrin Schöning-Stierand, Patrick C. Maaß, Matthias Rarey |
Bioinform. | 2 |