Project information
Visual Analysis of Protein-Ligand Interactions
(PROLINT)
- Project Identification
- GC18-18647J
- Project Period
- 3/2018 - 12/2020
- Investor / Pogramme / Project type
-
Czech Science Foundation
- International projects
- MU Faculty or unit
- Faculty of Informatics
- Cooperating Organization
-
Universität Ulm
- Responsible person Prof. Dr. rer. nat. habil. Timo Ropinski
- Responsible person Dr. rer. nat. Michael Krone
The visual analysis of protein structures has been researched in several projects within the past few years. While molecular structures are relevant, it is necessary to focus on both interaction partners and to also take into account their physico-chemical properties in order to understand protein interactions. Thus, within this research project, we plan to enable the visual analysis of protein-ligand interactions as captured in state-of-the-art simulations by focusing on these properties. The main goal is to make these time-dependent data sets better accessible for protein designers, and help them to develop adaptions that enable a more efficient interaction. In particular, we will develop novel visualization techniques which convey the relevant properties by means of abstract representations as well as structural embeddings. We will enhance these techniques for a visual comparison of different interactions, which eventually enable us to develop domain-centered immersive visual analytics approaches. We will evaluate our methods together with domain experts in order to ensure their effectiveness for the visual analysis of protein-ligand interactions.
Publications
Total number of publications: 9
2021
-
HyperLabels: Browsing of Dense and Hierarchical Molecular 3D Models
IEEE Transactions on Visualization and Computer Graphics, year: 2021, volume: 27, edition: 8, DOI
-
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening
IEEE Transactions on Visualization and Computer Graphics, year: 2021, volume: 27, edition: 2, DOI
-
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
Year: 2021, type: Appeared in Conference without Proceedings
2020
-
DockVis: Visual Analysis of Molecular Docking Trajectories
Computer Graphics Forum, year: 2020, volume: 39, edition: 6, DOI
-
Multiscale Visual Drilldown for the Analysis of Large Ensembles of Multi-Body Protein Complexes
IEEE Transactions on Visualization and Computer Graphics, year: 2020, volume: 26, edition: 1, DOI
-
The moving target of visualization software for an increasingly complex world
Computers & Graphics, year: 2020, volume: 87, edition: April, DOI
2019
-
Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization
Computer Graphics Forum, year: 2019, volume: 38, edition: 3, DOI
-
Multiscale Molecular Visualization
Journal of Molecular Biology, year: 2019, volume: 431, edition: 6, DOI
-
Visualization of Large Molecular Trajectories
IEEE Transactions on Visualization and Computer Graphics, year: 2019, volume: 25, edition: 1, DOI