Multiscale Molecular Visualization
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem, přehledy
Grantová podpora
I 2953
Austrian Science Fund FWF - Austria
PubMed
30227136
DOI
10.1016/j.jmb.2018.09.004
PII: S0022-2836(18)31049-0
Knihovny.cz E-zdroje
- Klíčová slova
- DNA nanotechnology, modelitics, molecular dynamics, molecular visualization, visual abstraction,
- MeSH
- Bacteria MeSH
- DNA ultrastruktura MeSH
- lidé MeSH
- molekulární modely MeSH
- nanostruktury * MeSH
- proteiny chemie MeSH
- simulace molekulární dynamiky * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
- Názvy látek
- DNA MeSH
- proteiny MeSH
We provide a high-level survey of multiscale molecular visualization techniques, with a focus on application-domain questions, challenges, and tasks. We provide a general introduction to molecular visualization basics and describe a number of domain-specific tasks that drive this work. These tasks, in turn, serve as the general structure of the following survey. First, we discuss methods that support the visual analysis of molecular dynamics simulations. We discuss, in particular, visual abstraction and temporal aggregation. In the second part, we survey multiscale approaches that support the design, analysis, and manipulation of DNA nanostructures and related concepts for abstraction, scale transition, scale-dependent modeling, and navigation of the resulting abstraction spaces. In the third part of the survey, we showcase approaches that support interactive exploration within large structural biology assemblies up to the size of bacterial cells. We describe fundamental rendering techniques as well as approaches for element instantiation, visibility management, visual guidance, camera control, and support of depth perception. We close the survey with a brief listing of important tools that implement many of the discussed approaches and a conclusion that provides some research challenges in the field.
Citace poskytuje Crossref.org
High-performance macromolecular data delivery and visualization for the web