The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Millisecond-scale molecular dynamics simulations on Anton
Abstract
Anton is a recently completed special-purpose supercomputer designed for molecular dynamics (MD) simulations of biomolecular systems. The machine's specialized hardware dramatically increases the speed of MD calculations, making possible for the first time the simulation of biological molecules at an atomic level of detail for periods on the order of a millisecond---about two orders of magnitude beyond the previous state of the art. Anton is now running simulations on a timescale at which many critically important, but poorly understood phenomena are known to occur, allowing the observation of aspects of protein dynamics that were previously inaccessible to both computational and experimental study. Here, we report Anton's performance when executing actual MD simulations whose accuracy has been validated against both existing MD software and experimental observations. We also discuss the manner in which novel algorithms have been coordinated with Anton's co-designed, application-specific hardware to achieve these results.
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Cites
A smooth particle mesh Ewald method
Essmann, U., Perera, L., Berkowitz, M. L., Darden, T., Lee, H., & Pedersen, L. G. (1995) · The Journal of Chemical Physics · doi:10.1063/1.470117 · Cited by 22,514
GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation
Hess, B., Kutzner, C., van der Spoel, D., & Lindahl, E. (2008) · Journal of Chemical Theory and Computation · doi:10.1021/ct700301q · Cited by 15,908
Jorgensen, W. L., Maxwell, D. S., & Tirado-Rives, J. (1996) · Journal of the American Chemical Society · doi:10.1021/ja9621760 · Cited by 15,409
Computer Simulation Using Particles
Hockney, R. W., & Eastwood, J. W. (1988) · Institute of Physics eBooks · doi:10.1887/0852743920 · Cited by 5,441
Molecular dynamics---Scalable algorithms for molecular dynamics simulations on commodity clusters
Bowers, K. J., Sacerdoti, F. D., Salmon, J. K., Shan, Y., Shaw, D. E., Chow, E., Xu, H., Dror, R. O., Eastwood, M. P., Gregersen, B. A., et al. (2006) · Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06 · doi:10.1145/1188455.1188544 · Cited by 2,580
Self-citationNAMD2: Greater Scalability for Parallel Molecular Dynamics
Kalé, L., Skeel, R., Bhandarkar, M., Brunner, R., Gursoy, A., Krawetz, N., Phillips, J., Shinozaki, A., Varadarajan, K., & Schulten, K. (1999) · Journal of Computational Physics · doi:10.1006/jcph.1999.6201 · Cited by 2,428
Development of an improved four-site water model for biomolecular simulations: TIP4P-Ew
Horn, H. W., Swope, W. C., Pitera, J. W., Madura, J. D., Dick, T. J., Hura, G. L., & Head-Gordon, T. (2004) · The Journal of Chemical Physics · doi:10.1063/1.1683075 · Cited by 2,121
McCammon, J. A., Gelin, B. R., & Karplus, M. (1977) · Nature · doi:10.1038/267585a0 · Cited by 2,067
Long-timescale molecular dynamics simulations of protein structure and function
Klepeis, J. L., Lindorff-Larsen, K., Dror, R. O., & Shaw, D. E. (2009) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2009.03.004 · Cited by 750
Self-citationGaussian split Ewald: A fast Ewald mesh method for molecular simulation
Shan, Y., Klepeis, J. L., Eastwood, M. P., Dror, R. O., & Shaw, D. E. (2005) · The Journal of Chemical Physics · doi:10.1063/1.1839571 · Cited by 432
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Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Biomolecular Simulation: A Computational Microscope for Molecular Biology
Dror, R. O., Dirks, R. M., Grossman, J. P., Xu, H., & Shaw, D. E. (2012) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-042910-155245 · Cited by 1,198
Self-citationPiana, S., Donchev, A. G., Robustelli, P., & Shaw, D. E. (2015) · The Journal of Physical Chemistry B · doi:10.1021/jp508971m · Cited by 852
Self-citationPathway and mechanism of drug binding to G-protein-coupled receptors
Dror, R. O., Pan, A. C., Arlow, D. H., Borhani, D. W., Maragakis, P., Shan, Y., Xu, H., & Shaw, D. E. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104614108 · Cited by 730
Self-citationActivation mechanism of the β2-adrenergic receptor
Dror, R. O., Arlow, D. H., Maragakis, P., Mildorf, T. J., Pan, A. C., Xu, H., Borhani, D. W., & Shaw, D. E. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110499108 · Cited by 623
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Metadata
- Authors
- Shaw, D. E., Dror, R. O., Salmon, J. K., Grossman, J. P., Mackenzie, K. M., Bank, J. A., Young, C., Deneroff, M. M., Batson, B., Bowers, K. J., Chow, E., Eastwood, M. P., Ierardi, D. J., Klepeis, J. L., Kuskin, J. S., Larson, R. H., Lindorff-Larsen, K., Maragakis, P., Moraes, M. A., Piana, S., Shan, Y., & Towles, B.
- Venue
- Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
- Publisher
- ACM
- Published
- 2009-11-14
- Pages
- 1-11
- OpenAlex
- W4245744705
- Cited by
- 294
- References
- 31
- FWCI
- 4.83
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Shaw, D. E., Dror, R. O., Salmon, J. K., Grossman, J. P., Mackenzie, K. M., Bank, J. A., Young, C., Deneroff, M. M., Batson, B., Bowers, K. J., Chow, E., Eastwood, M. P., Ierardi, D. J., Klepeis, J. L., Kuskin, J. S., Larson, R. H., Lindorff-Larsen, K., Maragakis, P., Moraes, M. A., . . . Towles, B. (2009). Millisecond-scale molecular dynamics simulations on Anton. Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis. https://doi.org/10.1145/1654059.1654126
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