Demo Data from EDBT 2026 / reviewers in the wild / expert
Simon Guionnière
dblp:370/5244
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 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.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 72% Computational science and engineering · 28% | |
| Computer graphics and multimedia
1 paper |
Rendering · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering › computational chemistry › molecular simulation › molecular dynamics
molecular dynamics visualization |
0.9 | 1 | 2025 | VTX: real-time high-performance molecular structure and dynamics visualization software · Bioinform. 2025 |
Bioinformatics and computational biology › molecular informatics
molecular visualization |
0.9 | 1 | 2025 | VTX: real-time high-performance molecular structure and dynamics visualization software · Bioinform. 2025 |
Bioinformatics and computational biology › protein structure prediction
protein-protein docking |
0.7 | 1 | 2023 | UDock2: interactive real-time multi-body protein-protein docking software · Bioinform. 2023 |
Bioinformatics and computational biology
protein structure prediction |
0.7 | 1 | 2023 | UDock2: interactive real-time multi-body protein-protein docking software · Bioinform. 2023 |
Rendering
real-time rendering |
0.3 | 1 | 2025 | VTX: real-time high-performance molecular structure and dynamics visualization software · Bioinform. 2025 |
Methods — techniques the papers use, named apart from their topics
OpenGL · 1.7real-time scoring · 0.7interactive manipulation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | VTX: real-time high-performance molecular structure and dynamics visualization softwareabstractSUMMARY: VTX is a molecular visualization software capable to handle most molecular structures and dynamics trajectories file formats. It features a real-time high-performance molecular graphics engine, based on modern OpenGL, optimized for the visualization of massive molecular systems and molecular dynamics trajectories. VTX includes multiple interactive camera and user interaction features, notably free-fly navigation and a fully modular graphical user interface designed for increased usability. It allows the production of high-resolution images for presentations and posters with custom background. VTX design is focused on performance and usability for research, teaching, and educative purposes. AVAILABILITY AND IMPLEMENTATION: VTX is open source and free for non-commercial use. Builds for Windows and Ubuntu Linux are available at http://vtx.drugdesign.fr. The source code is available at https://github.com/VTX-Molecular-Visualization. Maxime Maria, Simon Guionnière, Nicolas Dacquay, Cyprien Plateau-Holleville, Valentin Guillaume, Vincent Larroque, Jean Lardé, Yassine Naimi, Jean-Philip Piquemal, Guillaume Levieux, Nathalie Lagarde, Stéphane Mérillou, Matthieu Montès |
Bioinform. | 2 |
| 2023 | UDock2: interactive real-time multi-body protein-protein docking softwareabstractMOTIVATION: Protein-protein docking aims at predicting the geometry of protein interactions to gain insights into the mechanisms underlying these processes and develop new strategies for drug discovery. Interactive and user-oriented manipulation tools can support this task complementary to automated software. RESULTS: This article presents an interactive multi-body protein-protein docking software, UDock2, designed for research but also usable for teaching and popularization of science purposes due to its high usability. In UDock2, the users tackle the conformational space of protein interfaces using an intuitive real-time docking procedure with on-the-fly scoring. UDock2 integrates traditional computer graphics methods to facilitate the visualization and to provide better insight into protein surfaces, interfaces, and properties. AVAILABILITY AND IMPLEMENTATION: UDock2 is open-source, cross-platform (Windows and Linux), and available at http://udock.fr. The code can be accessed at https://gitlab.com/Udock/Udock2. Cyprien Plateau-Holleville, Simon Guionnière, Benjamin Boyer, Brian Jiménez-García, Guillaume Levieux, Stéphane Mérillou, Maxime Maria, Matthieu Montès |
Bioinform. | 2 |