Demo Data from VLDB 2026 / reviewers in the wild / expert
Daniel Mulnaes
dblp:141/3683
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · unresolved
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein engineering |
0.2 | 1 | 2015 | VisualCNA: a GUI for interactive constraint network analysis and protein engineering for improving thermostability · Bioinform. 2015 |
Bioinformatics and computational biology
protein structure analysis |
0.2 | 1 | 2015 | VisualCNA: a GUI for interactive constraint network analysis and protein engineering for improving thermostability · Bioinform. 2015 |
Bioinformatics and computational biology › protein structure analysis
rigidity analysis |
0.2 | 1 | 2015 | VisualCNA: a GUI for interactive constraint network analysis and protein engineering for improving thermostability · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
graph theory · 0.2constraint network analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | VisualCNA: a GUI for interactive constraint network analysis and protein engineering for improving thermostabilityabstractUNLABELLED: Constraint network analysis (CNA) is a graph theory-based rigidity analysis approach for linking a biomolecule's structure, flexibility, (thermo)stability and function. Results from CNA are highly information-rich and require intuitive, synchronized and interactive visualization for a comprehensive analysis. We developed VisualCNA, an easy-to-use PyMOL plug-in that allows setup of CNA runs and analysis of CNA results linking plots with molecular graphics representations. From a practical viewpoint, the most striking feature of VisualCNA is that it facilitates interactive protein engineering aimed at improving thermostability. AVAILABILITY AND IMPLEMENTATION: VisualCNA and its dependencies (CNA and FIRST software) are available free of charge under GPL and academic licenses, respectively. VisualCNA and CNA are available at http://cpclab.uni-duesseldorf.de/software; FIRST is available at http://flexweb.asu.edu. Prakash Chandra Rathi, Daniel Mulnaes, Holger Gohlke |
Bioinform. | 2 |