VLDB 2026 Research / reviewers in the wild / expert
Filip Opálený
dblp:333/0645
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0001-9438-396XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
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.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| 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 |
|---|---|---|---|---|
Visualization and visual analytics
biological data visualization |
0.9 | 1 | 2025 | Visual Support for the Loop Grafting Workflow on Proteins · IEEE Trans. Vis. Comput. Graph. 2025 |
Bioinformatics and computational biology
protein engineering |
0.3 | 1 | 2025 | Visual Support for the Loop Grafting Workflow on Proteins · IEEE Trans. Vis. Comput. Graph. 2025 |
Methods — techniques the papers use, named apart from their topics
interactive visualization · 1.73d molecular visualization · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Visual Support for the Loop Grafting Workflow on ProteinsabstractIn understanding and redesigning the function of proteins in modern biochemistry, protein engineers are increasingly focusing on exploring regions in proteins called loops. Analyzing various characteristics of these regions helps the experts design the transfer of the desired function from one protein to another. This process is denoted as loop grafting. We designed a set of interactive visualizations that provide experts with visual support through all the loop grafting pipeline steps. The workflow is divided into several phases, reflecting the steps of the pipeline. Each phase is supported by a specific set of abstracted 2D visual representations of proteins and their loops that are interactively linked with the 3D View of proteins. By sequentially passing through the individual phases, the user shapes the list of loops that are potential candidates for loop grafting. Finally, the actual in-silico insertion of the loop candidates from one protein to the other is performed, and the results are visually presented to the user. In this way, the fully computational rational design of proteins and their loops results in newly designed protein structures that can be further assembled and tested through in-vitro experiments. We showcase the contribution of our visual support design on a real case scenario changing the enantiomer selectivity of the engineered enzyme. Moreover, we provide the readers with the experts' feedback. Filip Opálený, Pavol Ulbrich, Joan Planas-Iglesias, Jan Byska, Jan Stourac, David Bednar, Katarína Furmanová, Barbora Kozlíková |
IEEE Trans. Vis. Comput. Graph. | 1 |