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ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale
Open accessAbstract
The high arithmetic performance and intrinsic parallelism of recent graphical processing units (GPUs) can offer a technological edge for molecular dynamics simulations. ACEMD is a production-class biomolecular dynamics (MD) engine supporting CHARMM and AMBER force fields. Designed specifically for GPUs it is able to achieve supercomputing scale performance of 40 ns/day for all-atom protein systems with over 23 000 atoms. We provide a validation and performance evaluation of the code and run a microsecond-long trajectory for an all-atom molecular system in explicit TIP3P water on a single workstation computer equipped with just 3 GPUs. We believe that microsecond time scale molecular dynamics on cost-effective hardware will have important methodological and scientific implications.
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Cites
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
Scalable molecular dynamics with NAMD
Phillips, J. C., Braun, R., Wang, W., Gumbart, J., Tajkhorshid, E., Villa, E., Chipot, C., Skeel, R. D., Kalé, L., & Schulten, K. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20289 · Cited by 16,914
Piana, S., Laio, A., Marinelli, F., Van Troys, M., Bourry, D., Ampe, C., & Martins, J. C. (2008) · Journal of Molecular Biology · doi:10.1016/j.jmb.2007.10.020 · Cited by 48
Research works printed but not linked: 38
- Giupponi G., 2008, Drug Discovery Today, 13, 1052, 10.1016/j.drudis.2008.08.001 · DOI
- Shaw D. E., 2007, Proceedings of the 34th annual international symposium on Computer architecture
- Bowers K. J., 2006, J. Chem. Phys., 24, 184109, 10.1063/1.2191489 · DOI
- Bowers K. J., 2005, J. Phys.: Conf. Ser., 16, 300
- Bowers K. J., 2006, Proceedings of ACM/IEEE Conference on SuperComputing 2006
- Hess B., 2008, J. Chem. Theor. Comput., 4, 435, 10.1021/ct700301q · DOI · Paper page
- De Fabritiis G., 2007, Comput. Phys. Commun., 176, 600, 10.1016/j.cpc.2007.02.107 · DOI
- Luttmann E., 2008, J. Comput. Chem., 30, 268, 10.1002/jcc.21054 · DOI
- Shirts M., 2000, Science, 290, 1903, 10.1126/science.290.5498.1903 · DOI · Paper page
- Harvey M. J., Distributed & Grid Computing-Science Made Transparent for Everyone. Principles, Applications and Supporting Communities
- Anderson D., 2009, Bekeley Open Infrastructure for Network Computing
- 2009, OpenGL-The Industry Standard for High Performance Graphics
- Nickolls J., 2008, ACM Queue, 6, 10.1145/1365490.1365500 · DOI · Paper page
- Stone J., 2007, J. Comput. Chem., 28, 2618, 10.1002/jcc.20829 · DOI · Paper page
- van Meel J. A., 2008, Mol. Simul.
- Phillips J. C., 2008, Proceedings of the 2008 ACM/IEEE Conference on Supercomputing
- Friedrichs, M. S.; Eastman, P.; Vaidyanathan, V.; Houston, M.; LeGrand, S.; Beberg, A. L.; Ensign, D. L.; Bruns, C. M.; Pande, V. S. 2009, 30, 864–872 · DOI · Paper page
- Ufimtsev I., 2008, J. Chem. Theory Comput., 4, 222, 10.1021/ct700268q · DOI · Paper page
- Anderson A. G., 2008, Comput. Phys. Commun., 177, 298, 10.1016/j.cpc.2007.03.004 · DOI
- Vogt L., 2008, J. Phys. Chem. A, 112, 2049, 10.1021/jp0776762 · DOI
- Yasuda K., 2008, J. Chem. Theor. Comput., 4, 1230, 10.1021/ct8001046 · DOI
- Ewald P., 1921, Ann. Phys., 64, 253, 10.1002/andp.19213690304 · DOI · Paper page
- MacKerell A. D., 1998, J. Phys. Chem. B, 102, 3586, 10.1021/jp973084f · DOI · Paper page
- Ponder J. W., 2003, Adv. Protein Chem., 66, 27, 10.1016/S0065-3233(03)66002-X · DOI · Paper page
- Bonomi, M.; Branduardi, D.; Bussi, G.; Camilloni, C.; Provasi, D.; Raiteri, P.; Donadio, D.; Marinelli, F.; Pietrucci, F.; Broglia, R. A.; Parrinello, M.PLUMED: a portable plugin for free-energy calculations with molecular dynamics; 2009. · DOI · Paper page
- Essman U., 1995, J. Chem. Phys., 19, 8577, 10.1063/1.470117 · DOI · Paper page
- Feenstra K. A., 1999, J. Comput. Chem., 20, 786, 10.1002/(SICI)1096-987X(199906)20:8<786::AID-JCC5>3.0.CO;2-B · DOI · Paper page
- Hardy D. J., 2007, MDX libraries
- Kräutler V., 2001, J. Comput. Chem., 22, 501, 10.1002/1096-987X(20010415)22:5<501::AID-JCC1021>3.0.CO;2-V · DOI · Paper page
- Andersen H. C., 1983, J. Comput. Phys., 52, 24, 10.1016/0021-9991(83)90014-1 · DOI · Paper page
- Verlet L., 1967, Part. Part. Syst. Charact., 159, 98
- Feenstra K., 1999, J. Comput. Chem., 20, 786, 10.1002/(SICI)1096-987X(199906)20:8<786::AID-JCC5>3.0.CO;2-B · DOI · Paper page
- Lippert R. A., 2007, J. Chem. Phys., 126, 046101, 10.1063/1.2431176 · DOI
- Tironi I. G., J. Chem. Phys., 102, 5451, 10.1063/1.469273 · DOI · Paper page
- Plimpton S., 1996, J. Comput. Chem., 17, 326, 10.1002/(SICI)1096-987X(199602)17:3<326::AID-JCC7>3.0.CO;2-X · doi:10.1002/(sici)1096-987x(199602)17:3<326::aid-jcc7>3.0.co;2-x
- Ensign D., 2007, J. Mol. Biol., 374, 806, 10.1016/j.jmb.2007.09.069 · DOI
- Anderson D. L., 2004, Proceedings of Fifth IEEE/ACM International Workshop on Grid Computing (GRID’04)
- Holden C., 2008, Science, 321, 1425
Cited by
MDTraj: A Modern Open Library for the Analysis of Molecular Dynamics Trajectories
McGibbon, R. T., Beauchamp, K. A., Harrigan, M. P., Klein, C., Swails, J. M., Hernández, C. X., Schwantes, C. R., Wang, L.-P., Lane, T. J., & Pande, V. S. (2015) · Biophysical Journal · doi:10.1016/j.bpj.2015.08.015 · Cited by 2,373
PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Models
Scherer, M. K., Trendelkamp-Schroer, B., Paul, F., Pérez-Hernández, G., Hoffmann, M., Plattner, N., Wehmeyer, C., Prinz, J.-H., & Noé, F. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b00743 · Cited by 1,163
Identification of slow molecular order parameters for Markov model construction
Pérez-Hernández, G., Paul, F., Giorgino, T., De Fabritiis, G., & Noé, F. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4811489 · Cited by 990
“We have performed 7706 all-atom explicit-solvent simulations of 24 ns each using the ACEMD software [29] on the GPUGRID distributed computing platform [12], yielding a total 168 μs simulation data.”
MethodHeterogeneous parallelization and acceleration of molecular dynamics simulations in GROMACS
Páll, S., Zhmurov, A., Bauer, P., Abraham, M., Lundborg, M., Gray, A., Hess, B., & Lindahl, E. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0018516 · Cited by 940
Markov state models of biomolecular conformational dynamics
Chodera, J. D., & Noé, F. (2014) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2014.04.002 · Cited by 776
Metadata
- Authors
- Harvey, M. J., Giupponi, G., & Fabritiis, G. D.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-05-21
- Volume
- 5
- Issue
- 6
- Pages
- 1632-1639
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2082586732
- Cited by
- 919
- References
- 3
- FWCI
- 47.51
- Type
- journal article
- Language
- en
- Open access
- green
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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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