The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features
Open accessAbstract
We report progress in graphics processing unit (GPU)-accelerated molecular dynamics and free energy methods in Amber18. Of particular interest is the development of alchemical free energy algorithms, including free energy perturbation and thermodynamic integration methods with support for nonlinear soft-core potential and parameter interpolation transformation pathways. These methods can be used in conjunction with enhanced sampling techniques such as replica exchange, constant-pH molecular dynamics, and new 12-6-4 potentials for metal ions. Additional performance enhancements have been made that enable appreciable speed-up on GPUs relative to the previous software release.
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Replica-exchange molecular dynamics method for protein folding
Sugita, Y., & Okamoto, Y. (1999) · Chemical Physics Letters · doi:10.1016/s0009-2614(99)01123-9 · Cited by 4,514
Statistical Mechanics of Fluid Mixtures
Kirkwood, J. G. (1935) · The Journal of Chemical Physics · doi:10.1063/1.1749657 · Cited by 3,454
Salomon-Ferrer, R., Götz, A. W., Poole, D., Le Grand, S., & Walker, R. C. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct400314y · Cited by 3,372
Self-citationHigh-Temperature Equation of State by a Perturbation Method. I. Nonpolar Gases
Zwanzig, R. W. (1954) · The Journal of Chemical Physics · doi:10.1063/1.1740409 · Cited by 3,066
Efficient estimation of free energy differences from Monte Carlo data
Bennett, C. H. (1976) · Journal of Computational Physics · doi:10.1016/0021-9991(76)90078-4 · Cited by 2,755
OpenMM 7: Rapid development of high performance algorithms for molecular dynamics
Eastman, P., Swails, J., Chodera, J. D., McGibbon, R. T., Zhao, Y., Beauchamp, K. A., Wang, L.-P., Simmonett, A. C., Harrigan, M. P., Stern, C. D., et al. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005659 · Cited by 2,748
On the determination of molecular fields. —II. From the equation of state of a gas
Jones, J. E. (1924) · Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character · doi:10.1098/rspa.1924.0082 · Cited by 2,384
Statistically optimal analysis of samples from multiple equilibrium states
Shirts, M. R., & Chodera, J. D. (2008) · The Journal of Chemical Physics · doi:10.1063/1.2978177 · Cited by 1,849
General purpose molecular dynamics simulations fully implemented on graphics processing units
Anderson, J. A., Lorenz, C. D., & Travesset, A. (2008) · Journal of Computational Physics · doi:10.1016/j.jcp.2008.01.047 · Cited by 1,481
Torrie, G. M., & Valleau, J. P. (1974) · Chemical Physics Letters · doi:10.1016/0009-2614(74)80109-0 · Cited by 1,404
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He, X., Man, V. H., Yang, W., Lee, T.-S., & Wang, J. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0019056 · Cited by 783
Self-citationDeePMD-kit v2: A software package for deep potential models
Zeng, J., Zhang, D., Lu, D., Mo, P., Li, Z., Chen, Y., Rynik, M., Huang, L., Li, Z., Shi, S., et al. (2023) · The Journal of Chemical Physics · doi:10.1063/5.0155600 · Cited by 614
Self-citationLarge-Scale Assessment of Binding Free Energy Calculations in Active Drug Discovery Projects
Schindler, C. E. M., Baumann, H., Blum, A., Böse, D., Buchstaller, H.-P., Burgdorf, L., Cappel, D., Chekler, E., Czodrowski, P., Dorsch, D., et al. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c00900 · Cited by 303
Parameterization of Monovalent Ions for the OPC3, OPC, TIP3P-FB, and TIP4P-FB Water Models
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Metadata
- Authors
- Lee, T.-S., Cerutti, D. S., Mermelstein, D., Lin, C., LeGrand, S., Giese, T. J., Roitberg, A., Case, D. A., Walker, R. C., & York, D. M.
- Venue
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-09-10
- Volume
- 58
- Issue
- 10
- Pages
- 2043-2050
- ISSN
- 1549-9596 (ISSN-L)
- 1549-960X
- OpenAlex
- W2891791233
- Cited by
- 481
- References
- 61
- FWCI
- 18.11
- Type
- journal article
- Language
- en
- Open access
- green
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- Lee, T.-S., Cerutti, D. S., Mermelstein, D., Lin, C., LeGrand, S., Giese, T. J., Roitberg, A., Case, D. A., Walker, R. C., & York, D. M. (2018). GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.8b00462
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