DockVis: Visual Analysis of Molecular Docking Trajectories

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dc.contributor.authorFurmanová, Katarínaen_US
dc.contributor.authorVávra, Ondřejen_US
dc.contributor.authorKozlíková, Barboraen_US
dc.contributor.authorDamborský, Jiříen_US
dc.contributor.authorVonásek, Vojtěchen_US
dc.contributor.authorBednář, Daviden_US
dc.contributor.authorByška, Janen_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2020-10-06T16:54:04Z
dc.date.available2020-10-06T16:54:04Z
dc.date.issued2020
dc.description.abstractComputation of trajectories for ligand binding and unbinding via protein tunnels and channels is important for predicting possible protein–ligand interactions. These highly complex processes can be simulated by several software tools, which provide biochemists with valuable information for drug design or protein engineering applications. This paper focuses on aiding this exploration process by introducing the DockVis visual analysis tool. DockVis operates with the multivariate output data from one of the latest available tools for the prediction of ligand transport, CaverDock. DockVis provides the users with several linked views, combining the 2D abstracted depictions of ligands and their surroundings and properties with the 3D view. In this way, we enable the users to perceive the spatial configurations of ligand passing through the protein tunnel. The users are initially visually directed to the most relevant parts of ligand trajectories, which can be then explored in higher detail by the follow‐up analyses. DockVis was designed in tight collaboration with protein engineers developing the CaverDock tool. However, the concept of DockVis can be extended to any other tool predicting ligand pathways by the molecular docking. DockVis will be made available to the wide user community as part of the Caver Analyst 3.0 software package ().en_US
dc.description.number6
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.14048
dc.identifier.issn1467-8659
dc.identifier.pages452-464
dc.identifier.urihttps://doi.org/10.1111/cgf.14048
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14048
dc.publisher© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectvisual analysis
dc.subjectmolecular docking
dc.subjecttrajectory
dc.subjectligand
dc.titleDockVis: Visual Analysis of Molecular Docking Trajectoriesen_US
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