The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Quantitative Coarse-Grain Model for Lipid Bilayers
Open accessAbstract
A simplified particle-based computer model for hydrated phospholipid bilayers has been developed and applied to quantitatively predict the major physical features of fluid-phase biomembranes. Compared with available coarse-grain methods, three novel aspects are introduced. First, the main electrostatic features of the system are incorporated explicitly via charges and dipoles. Second, water is accurately (yet efficiently) described, on an individual level, by the soft sticky dipole model. Third, hydrocarbon tails are modeled using the anisotropic Gay-Berne potential. Simulations are conducted by rigid-body molecular dynamics. Our technique proves 2 orders of magnitude less demanding of computational resources than traditional atomic-level methodology. Self-assembled bilayers quantitatively reproduce experimental observables such as electron density, compressibility moduli, dipole potential, lipid diffusion, and water permeability. The lateral pressure profile has been calculated, along with the elastic curvature constants of the Helfrich expression for the membrane bending energy; results are consistent with experimental estimates and atomic-level simulation data. Several of the results presented have been obtained for the first time using a coarse-grain method. Our model is also directly compatible with atomic-level force fields, allowing mixed systems to be simulated in a multiscale fashion.
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Citations
Cites
Coarse Grained Model for Semiquantitative Lipid Simulations
Marrink, S. J., de Vries, A. H., & Mark, A. E. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp036508g · Cited by 2,257
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
Cited by
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
The power of coarse graining in biomolecular simulations
Ingólfsson, H. I., Lopez, C. A., Uusitalo, J. J., de Jong, D. H., Gopal, S. M., Periole, X., & Marrink, S. J. (2014) · WIREs Computational Molecular Science · doi:10.1002/wcms.1169 · Cited by 572
Lipids on the move: Simulations of membrane pores, domains, stalks and curves
Marrink, S. J., de Vries, A. H., & Tieleman, D. P. (2009) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2008.10.006 · Cited by 440
Shinoda, W., DeVane, R., & Klein, M. L. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp9107206 · Cited by 276
Coarse-grained molecular modeling of non-ionic surfactant self-assembly
Shinoda, W., DeVane, R., & Klein, M. L. (2008) · Soft Matter · doi:10.1039/b808701f · Cited by 262
Xie, G.-L., Zhang, Y.-H., & Huang, S.-P. (2012) · Chinese Journal of Chemical Physics · doi:10.1088/1674-0068/25/02/177-185 · Cited by 2
Metadata
- Authors
- Orsi, M., Haubertin, D. Y., Sanderson, W. E., & Essex, J. W.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-12-18
- Volume
- 112
- Issue
- 3
- Pages
- 802-815
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2147957677
- Cited by
- 159
- References
- 2
- FWCI
- 3.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
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