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dc.contributor.authorAlharbi, Naifen_US
dc.contributor.authorKrone, Michaelen_US
dc.contributor.authorChavent, Matthieuen_US
dc.contributor.authorLaramee, Robert S.en_US
dc.contributor.editorKozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata Georgiaen_US
dc.date.accessioned2019-09-03T13:49:26Z
dc.date.available2019-09-03T13:49:26Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-081-9
dc.identifier.issn2070-5786
dc.identifier.urihttps://doi.org/10.2312/vcbm.20191247
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20191247
dc.description.abstractIn 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.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisualization
dc.titleHybrid Visualization of Protein-Lipid and Protein-Protein Interactionen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.description.sectionheadersMolecular Visualization (II)
dc.identifier.doi10.2312/vcbm.20191247
dc.identifier.pages213-223


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