The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
High-Performance Scalable Molecular Dynamics Simulations of a Polarizable Force Field Based on Classical Drude Oscillators in NAMD
Open accessAbstract
Incorporating the influence of induced polarization in large-scale atomistic molecular dynamics (MD) simulations is a critical challenge in the progress toward computations of increased accuracy. One computationally efficient treatment is based on the classical Drude oscillator in which an auxiliary charged particle is attached by a spring to each nucleus. Here, we report the first implementation of this model in the program NAMD. An extended Lagrangian dynamics with a dual-Langevin thermostat scheme applied to the Drude-nucleus pairs is employed to efficiently generate classical dynamic propagation near the self-consistent field limit. Large-scale MD simulations based on the Drude polarizable force field scale very well on massively distributed supercomputing platforms, the computational demand being only about 50-100% higher than for nonpolarizable models. As an illustration, a large-scale 150 mM NaCl aqueous salt solution is simulated, and the calculated ionic conductivity is shown to be in excellent agreement with experiment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
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
Self-citationAll-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins
MacKerell, A. D., Bashford, D., Bellott, M., Dunbrack, R. L., Evanseck, J. D., Field, M. J., Fischer, S., Gao, J., Guo, H., Ha, S., et al. (1998) · The Journal of Physical Chemistry B · doi:10.1021/jp973084f · Cited by 14,311
Self-citationA Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules
Cornell, W. D., Cieplak, P., Bayly, C. I., Gould, I. R., Merz, K. M., Ferguson, D. M., Spellmeyer, D. C., Fox, T., Caldwell, J. W., & Kollman, P. A. (1995) · Journal of the American Chemical Society · doi:10.1021/ja00124a002 · Cited by 13,103
Computer "Experiments" on Classical Fluids. I. Thermodynamical Properties of Lennard-Jones Molecules
Verlet, L. (1967) · Physical Review · doi:10.1103/physrev.159.98 · Cited by 9,534
CHARMM: The biomolecular simulation program
Brooks, B. R., Brooks, C. L., Mackerell, A. D., Nilsson, L., Petrella, R. J., Roux, B., Won, Y., Archontis, G., Bartels, C., Boresch, S., et al. (2009) · Journal of Computational Chemistry · doi:10.1002/jcc.21287 · Cited by 8,939
Self-citationSettle: An analytical version of the SHAKE and RATTLE algorithm for rigid water models
Miyamoto, S., & Kollman, P. A. (1992) · Journal of Computational Chemistry · doi:10.1002/jcc.540130805 · Cited by 7,344
Jorgensen, W. L., & Tirado-Rives, J. (1988) · Journal of the American Chemical Society · doi:10.1021/ja00214a001 · Cited by 4,997
Current Status of the AMOEBA Polarizable Force Field
Ponder, J. W., Wu, C., Ren, P., Pande, V. S., Chodera, J. D., Schnieders, M. J., Haque, I., Mobley, D. L., Lambrecht, D. S., DiStasio, R. A., et al. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp910674d · Cited by 1,440
Computer "Experiments" on Classical Fluids. II. Equilibrium Correlation Functions
VERLET, L. (1968) · Physical Review · doi:10.1103/physrev.165.201 · Cited by 1,260
Dynamical fluctuating charge force fields: Application to liquid water
Rick, S. W., Stuart, S. J., & Berne, B. J. (1994) · The Journal of Chemical Physics · doi:10.1063/1.468398 · Cited by 1,192
A consistent empirical potential for water–protein interactions
Hermans, J., Berendsen, H. J. C., Van Gunsteren, W. F., & Postma, J. P. M. (1984) · Biopolymers · doi:10.1002/bip.360230807 · Cited by 773
Lamoureux, G., & Roux, B. (2003) · The Journal of Chemical Physics · doi:10.1063/1.1589749 · Cited by 737
Self-citationA simple polarizable model of water based on classical Drude oscillators
Lamoureux, G., MacKerell, A. D., & Roux, B. (2003) · The Journal of Chemical Physics · doi:10.1063/1.1598191 · Cited by 688
Self-citationA polarizable model of water for molecular dynamics simulations of biomolecules
Lamoureux, G., Harder, E., Vorobyov, I. V., Roux, B., & MacKerell, A. D. (2006) · Chemical Physics Letters · doi:10.1016/j.cplett.2005.10.135 · Cited by 677
Self-citationStochastic boundary conditions for molecular dynamics simulations of ST2 water
Brünger, A., Brooks, C. L., & Karplus, M. (1984) · Chemical Physics Letters · doi:10.1016/0009-2614(84)80098-6 · Cited by 643
Caldwell, J. W., & Kollman, P. A. (1995) · The Journal of Physical Chemistry · doi:10.1021/j100016a067 · Cited by 485
Simulating Monovalent and Divalent Ions in Aqueous Solution Using a Drude Polarizable Force Field
Yu, H., Whitfield, T. W., Harder, E., Lamoureux, G., Vorobyov, I., Anisimov, V. M., MacKerell, A. D., & Roux, B. (2010) · Journal of Chemical Theory and Computation · doi:10.1021/ct900576a · Cited by 455
Self-citationCieplak, P., Caldwell, J., & Kollman, P. (2001) · Journal of Computational Chemistry · doi:10.1002/jcc.1065 · Cited by 446
Lopes, P. E. M., Roux, B., & MacKerell, A. D. (2009) · Theoretical Chemistry Accounts · doi:10.1007/s00214-009-0617-x · Cited by 339
Self-citationAn alternative approach to dissipative particle dynamics
Lowe, C. P. (1999) · Europhysics Letters (EPL) · doi:10.1209/epl/i1999-00365-x · Cited by 307
Anisimov, V. M., Lamoureux, G., Vorobyov, I. V., Huang, N., Roux, B., & MacKerell, A. D. (2005) · Journal of Chemical Theory and Computation · doi:10.1021/ct049930p · Cited by 307
Self-citationStern, H. A., Rittner, F., Berne, B. J., & Friesner, R. A. (2001) · The Journal of Chemical Physics · doi:10.1063/1.1376165 · Cited by 275
Rankin, W. J. (2019) · Chemical Thermodynamics · doi:10.1201/9780429277252-12 · Cited by 271
Additive and Classical Drude Polarizable Force Fields for Linear and Cyclic Ethers
Vorobyov, I., Anisimov, V. M., Greene, S., Venable, R. M., Moser, A., Pastor, R. W., & MacKerell, A. D. (2007) · Journal of Chemical Theory and Computation · doi:10.1021/ct600350s · Cited by 248
Self-citationPolarizable Empirical Force Field for Alkanes Based on the Classical Drude Oscillator Model
Vorobyov, I. V., Anisimov, V. M., & MacKerell, A. D. (2005) · The Journal of Physical Chemistry B · doi:10.1021/jp053182y · Cited by 201
Self-citationSimulations of ice and liquid water over a range of temperatures using the fluctuating charge model
Rick, S. W. (2001) · The Journal of Chemical Physics · doi:10.1063/1.1336805 · Cited by 180
Polarizable Empirical Force Field for Aromatic Compounds Based on the Classical Drude Oscillator
Lopes, P. E. M., Lamoureux, G., Roux, B., & MacKerell, A. D. (2007) · The Journal of Physical Chemistry B · doi:10.1021/jp0663614 · Cited by 155
Self-citationUnderstanding the dielectric properties of liquid amides from a polarizable force field.
Harder, E. D., Anisimov, V. M., Whitfield, T., MacKerell, A. D., & Roux, B. (2008) · Journal of Physical Chemistry B · doi:10.1021/jp709729d · Cited by 121
Self-citationWhitfield, T. W., Varma, S., Harder, E. D., Lamoureux, G., Rempe, S. B., & Roux, B. (2007) · Journal of Chemical Theory and Computation · doi:10.1021/ct700172b · Cited by 96
Self-citation
Cited by
Lemkul, J. A., Huang, J., Roux, B., & MacKerell, A. D. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00505 · Cited by 623
Self-citationPolarizable Force Field for Peptides and Proteins Based on the Classical Drude Oscillator
Lopes, P. E. M., Huang, J., Shim, J., Luo, Y., Li, H., Roux, B., & MacKerell, A. D. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct400781b · Cited by 386
Self-citationCHARMM at 45: Enhancements in Accessibility, Functionality, and Speed
Hwang, W., Austin, S. L., Blondel, A., Boittier, E. D., Boresch, S., Buck, M., Buckner, J., Caflisch, A., Chang, H.-T., Cheng, X., et al. (2024) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.4c04100 · Cited by 136
Self-citation
Metadata
- Authors
- Jiang, W., Hardy, D. J., Phillips, J. C., MacKerell, A. D., Schulten, K., & Roux, B.
- Venue
- The Journal of Physical Chemistry Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-12-23
- Volume
- 2
- Issue
- 2
- Pages
- 87-92
- ISSN
- 1948-7185 (ISSN-L)
- OpenAlex
- W1972399880
- Cited by
- 279
- References
- 30
- FWCI
- 7.58
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.