dc.contributor.author | Alharbi, Naif | en_US |
dc.contributor.author | Krone, Michael | en_US |
dc.contributor.author | Chavent, Matthieu | en_US |
dc.contributor.author | Laramee, Robert S. | en_US |
dc.contributor.editor | Kozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata Georgia | en_US |
dc.date.accessioned | 2019-09-03T13:49:26Z | |
dc.date.available | 2019-09-03T13:49:26Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-3-03868-081-9 | |
dc.identifier.issn | 2070-5786 | |
dc.identifier.uri | https://doi.org/10.2312/vcbm.20191247 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/vcbm20191247 | |
dc.description.abstract | In the Molecular Dynamics (MD) visualization literature, different approaches are utilized to study protein-lipid interactions (PLI) and protein-protein interaction (PPI) in decoupled contexts. However, the two types of interaction occur in the same space-time domain. It is beneficial to study the PLI and PPI in a unified context. Nevertheless, the simulation's size, length, and complexity increase the challenge of understanding the dynamic behavior. We propose a novel framework consisting of four linked views, a time-dependent 3D view, a novel hybrid view, a clustering timeline, and a details-on-demand window. We introduce a selection of visual designs to convey the behavior of PLI and PPI through a unified coordinate system. Abstraction is used to present proteins in hybrid 2D space, a projected tiled space is used to present both PLI and PPI at the particle level in a heat-map style visual design while glyphs are used to represent PPI at the molecular level. We couple visually separable visual designs in a unified coordinate space. The result lets the user study both PLI and PPI separately or together in a unified visual analysis framework. We also exemplify its use with case studies focusing on protein clustering and we report domain expert feedback. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Visualization | |
dc.title | Hybrid Visualization of Protein-Lipid and Protein-Protein Interaction | en_US |
dc.description.seriesinformation | Eurographics Workshop on Visual Computing for Biology and Medicine | |
dc.description.sectionheaders | Molecular Visualization (II) | |
dc.identifier.doi | 10.2312/vcbm.20191247 | |
dc.identifier.pages | 213-223 | |