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Vivern–A Virtual Environment for Multiscale Visualization and Modeling of DNA Nanostructures.

Authors :
Kutak, David
Selzer, Matias Nicolas
Byska, Jan
Ganuza, Maria Lujan
Barisic, Ivan
Kozlikova, Barbora
Miao, Haichao
Source :
IEEE Transactions on Visualization & Computer Graphics; Dec2022, Vol. 28 Issue 12, p4825-4838, 14p
Publication Year :
2022

Abstract

DNA nanostructures offer promising applications, particularly in the biomedical domain, as they can be used for targeted drug delivery, construction of nanorobots, or as a basis for molecular motors. One of the most prominent techniques for assembling these structures is DNA origami. Nowadays, desktop applications are used for the in silico design of such structures. However, as such structures are often spatially complex, their assembly and analysis are complicated. Since virtual reality (VR) was proven to be advantageous for such spatial-related tasks and there are no existing VR solutions focused on this domain, we propose Vivern, a VR application that allows domain experts to design and visually examine DNA origami nanostructures. Our approach presents different abstracted visual representations of the nanostructures, various color schemes, and an ability to place several DNA nanostructures and proteins in one environment, thus allowing for the detailed analysis of complex assemblies. We also present two novel examination tools, the Magic Scale Lens and the DNA Untwister, that allow the experts to visually embed different representations into local regions to preserve the context and support detailed investigation. To showcase the capabilities of our solution, prototypes of novel nanodevices conceptualized by our collaborating experts, such as DNA-protein hybrid structures and DNA origami superstructures, are presented. Finally, the results of two rounds of evaluations are summarized. They demonstrate the advantages of our solution, especially for scenarios where current desktop tools are very limited, while also presenting possible future research directions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10772626
Volume :
28
Issue :
12
Database :
Complementary Index
Journal :
IEEE Transactions on Visualization & Computer Graphics
Publication Type :
Academic Journal
Accession number :
160687547
Full Text :
https://doi.org/10.1109/TVCG.2021.3106328