The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Bringing Molecular Dynamics Simulation Data into View
Open accessAbstract
Molecular dynamics (MD) simulations monitor time-resolved motions of macromolecules. While visualization of MD trajectories allows an instant and intuitive understanding of dynamics and function, so far mainly static representations are provided in the published literature. Recent advances in browser technology may allow for the sharing of trajectories through interactive visualization on the web. We believe that providing intuitive and interactive visualization, along with related protocols and analysis data, promotes understanding, reliability, and reusability of MD simulations. Existing barriers for sharing MD simulations are discussed and emerging solutions are highlighted. We predict that interactive visualization of MD trajectories will quickly be adopted by researchers, research consortiums, journals, and funding agencies to gather and distribute results from MD simulations via the web.
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Cites
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Zhang, W., Zhang, Y., Hu, N., & Wang, A. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.990779 · Cited by 12
(2023) · doi:10.1186/s12886-023-03243-2 · Cited by 2
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Metadata
- Authors
- Hildebrand, P. W., Rose, A. S., & Tiemann, J. K. S.
- Venue
- Trends in Biochemical Sciences
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 44
- Issue
- 11
- Pages
- 902-913
- ISSN
- 0968-0004 (ISSN-L)
- OpenAlex
- W2957177175
- Cited by
- 298
- References
- 73
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Hildebrand, P. W., Rose, A. S., & Tiemann, J. K. S. (2019). Bringing Molecular Dynamics Simulation Data into View. Trends in Biochemical Sciences. https://doi.org/10.1016/j.tibs.2019.06.004
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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