The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The ELBA Force Field for Coarse-Grain Modeling of Lipid Membranes
Open accessAbstract
A new coarse-grain model for molecular dynamics simulation of lipid membranes is presented. Following a simple and conventional approach, lipid molecules are modeled by spherical sites, each representing a group of several atoms. In contrast to common coarse-grain methods, two original (interdependent) features are here adopted. First, the main electrostatics are modeled explicitly by charges and dipoles, which interact realistically through a relative dielectric constant of unity (ε(r) = 1). Second, water molecules are represented individually through a new parametrization of the simple Stockmayer potential for polar fluids; each water molecule is therefore described by a single spherical site embedded with a point dipole. The force field is shown to accurately reproduce the main physical properties of single-species phospholipid bilayers comprising dioleoylphosphatidylcholine (DOPC) and dioleoylphosphatidylethanolamine (DOPE) in the liquid crystal phase, as well as distearoylphosphatidylcholine (DSPC) in the liquid crystal and gel phases. Insights are presented into fundamental properties and phenomena that can be difficult or impossible to study with alternative computational or experimental methods. For example, we investigate the internal pressure distribution, dipole potential, lipid diffusion, and spontaneous self-assembly. Simulations lasting up to 1.5 microseconds were conducted for systems of different sizes (128, 512 and 1058 lipids); this also allowed us to identify size-dependent artifacts that are expected to affect membrane simulations in general. Future extensions and applications are discussed, particularly in relation to the methodology's inherent multiscale capabilities.
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Cites
Fast Parallel Algorithms for Short-Range Molecular Dynamics
Plimpton, S. (1995) · Journal of Computational Physics · doi:10.1006/jcph.1995.1039 · Cited by 44,721
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Life — As a Matter of Fat: The Emerging Science of Lipidomics
Mouritsen, O. G. (2005) · The Frontiers Collection · doi:10.1007/b138577 · Cited by 448
Tanaka, M., Girard, G., Davis, R., Peuto, A., & Bignell, N. (2001) · Metrologia · doi:10.1088/0026-1394/38/4/3 · Cited by 420
Cited by
Lipid14: The Amber Lipid Force Field
Dickson, C. J., Madej, B. D., Skjevik, Å. A., Betz, R. M., Teigen, K., Gould, I. R., & Walker, R. C. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct4010307 · Cited by 1,206
ddcMD: A fully GPU-accelerated molecular dynamics program for the Martini force field
Zhang, X., Sundram, S., Oppelstrup, T., Kokkila-Schumacher, S. I. L., Carpenter, T. S., Ingólfsson, H. I., Streitz, F. H., Lightstone, F. C., & Glosli, J. N. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0014500 · Cited by 25
Metadata
- Authors
- Orsi, M., & Essex, J. W.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-12-16
- Volume
- 6
- Issue
- 12
- Pages
- e28637
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2038995335
- Cited by
- 173
- References
- 4
- FWCI
- 2.94
- Type
- journal article
- Language
- en
- Open access
- gold
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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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