The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Calibration and Testing of a Water Model for Simulation of the Molecular Dynamics of Proteins and Nucleic Acids in Solution
Abstract
The objective of this work is to obtain a water model for simulations of biological macromolecules in solution. A pragmatic approach is taken in which we use the same type of force field for the water as used for the solute and derive the water potential as an integral part of the ENCAD macromolecular potential. 1,2 Here we describe a flexible three-centered water model (F3C), which has already been used for many large-scale biological simulations, and compare it with other water models. The model is further tested by comparing calculated energetic, structural, and dynamic properties of liquid water, at several temperatures and pressures, with experiment. The F3C model is extremely simple and fits experimental data well for different temperatures, pressures, system sizes, and integration time steps. Because the F3C model works well with short-range truncation, it is well-suited to high-speed computation of long molecular dynamics trajectories of macromolecules in solution.
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
Comparison of simple potential functions for simulating liquid water
Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. W., & Klein, M. L. (1983) · The Journal of Chemical Physics · doi:10.1063/1.445869 · Cited by 41,298
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Computer Simulation of Liquids
P, S., & J, K. (1988) · Journal of Molecular Liquids · doi:10.1016/0167-7322(88)80022-9 · Cited by 15,812
CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
Brooks, B. R., Bruccoleri, R. E., Olafson, B. D., States, D. J., Swaminathan, S., & Karplus, M. (1983) · Journal of Computational Chemistry · doi:10.1002/jcc.540040211 · Cited by 14,944
The missing term in effective pair potentials
Berendsen, H. J. C., Grigera, J. R., & Straatsma, T. P. (1987) · The Journal of Physical Chemistry · doi:10.1021/j100308a038 · Cited by 13,345
Interaction Models for Water in Relation to Protein Hydration
Berendsen, H. J. C., Postma, J. P. M., van Gunsteren, W. F., & Hermans, J. (1981) · The Jerusalem Symposia on Quantum Chemistry and Biochemistry · doi:10.1007/978-94-015-7658-1_21 · Cited by 5,654
A Theory of Water and Ionic Solution, with Particular Reference to Hydrogen and Hydroxyl Ions
Bernal, J. D., & Fowler, R. H. (1933) · The Journal of Chemical Physics · doi:10.1063/1.1749327 · Cited by 3,255
The structure and properties of water
(1970) · Journal of Molecular Structure · doi:10.1016/0022-2860(70)85012-8 · Cited by 2,931
The Structure and Properties of Water
Hasted, J. B. (1969) · Physics Bulletin · doi:10.1088/0031-9112/20/12/017 · Cited by 1,783
Improved simulation of liquid water by molecular dynamics
Stillinger, F. H., & Rahman, A. (1974) · The Journal of Chemical Physics · doi:10.1063/1.1681229 · Cited by 1,687
Cited by
Structure and Dynamics of the TIP3P, SPC, and SPC/E Water Models at 298 K
Mark, P., & Nilsson, L. (2001) · The Journal of Physical Chemistry A · doi:10.1021/jp003020w · Cited by 4,571
Force Fields for Protein Simulations
Ponder, J. W., & Case, D. A. (2003) · Advances in Protein Chemistry · doi:10.1016/s0065-3233(03)66002-x · Cited by 1,903
Flexible simple point-charge water model with improved liquid-state properties
Wu, Y., Tepper, H. L., & Voth, G. A. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2136877 · Cited by 1,285
A reappraisal of what we have learnt during three decades of computer simulations on water
Guillot, B. (2002) · Journal of Molecular Liquids · doi:10.1016/s0167-7322(02)00094-6 · Cited by 958
Molecular Dynamics of Water at the Protein−Solvent Interface
Bizzarri, A. R., & Cannistraro, S. (2002) · The Journal of Physical Chemistry B · doi:10.1021/jp020100m · Cited by 521
Levitt, M., Hirshberg, M., Sharon, R., & Daggett, V. (1995) · Computer Physics Communications · doi:10.1016/0010-4655(95)00049-l · Cited by 443
Self-citationLin, S.-T., Maiti, P. K., & Goddard, W. A. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp103120q · Cited by 364
Barriers to Superfast Water Transport in Carbon Nanotube Membranes
Walther, J. H., Ritos, K., Cruz-Chu, E. R., Megaridis, C. M., & Koumoutsakos, P. (2013) · Nano Letters · doi:10.1021/nl304000k · Cited by 254
Doo, G., Lee, J. H., Yuk, S., Choi, S., Lee, D.-H., Lee, D. W., Kim, H. G., Kwon, S. H., Lee, S. G., & Kim, H.-T. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b01751 · Cited by 126
Dispersion-Solvent Control of Ionomer Aggregation in a Polymer Electrolyte Membrane Fuel Cell
Lee, J. H., Doo, G., Kwon, S. H., Choi, S., Kim, H.-T., & Lee, S. G. (2018) · Scientific Reports · doi:10.1038/s41598-018-28779-y · Cited by 74
Lee, J. H., Doo, G., Kwon, S. H., Kang, H., Choi, S., Yim, S.-D., Kim, H.-T., & Lee, S. G. (2020) · ACS Applied Polymer Materials · doi:10.1021/acsapm.0c00042 · Cited by 27
Metadata
- Authors
- Levitt, M., Hirshberg, M., Sharon, R., Laidig, K. E., & Daggett, V.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 1997-06-01
- Volume
- 101
- Issue
- 25
- Pages
- 5051-5061
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2051606057
- Cited by
- 561
- References
- 48
- FWCI
- 3.60
- Type
- journal article
- Language
- en
- Open access
- closed
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.