The DOI matches its Crossref record; 365 of the 365 references it cites were found in a registry or an index.
Biological and synthetic membranes: What can be learned from a coarse-grained description?
Open accessAbstract
We discuss the role coarse-grained models play in the investigation of the structure and thermodynamics of bilayer membranes, and we place them in the context of alternative approaches. Because they reduce the degrees of freedom and employ simple and soft effective potentials, coarse-grained models can provide rather direct insight into collective phenomena in membranes on large time and length scales. We present a summary of recent progress in this rapidly evolving field, and pay special attention to model development and computational techniques. Applications of coarse-grained models to changes of the membrane topology are illustrated with studies of membrane fusion utilizing simulations and self-consistent field theory.
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Cites
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
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
Molecular dynamics with coupling to an external bath
Berendsen, H. J. C., Postma, J. P. M., van Gunsteren, W. F., DiNola, A., & Haak, J. R. (1984) · The Journal of Chemical Physics · doi:10.1063/1.448118 · Cited by 30,700
Canonical dynamics: Equilibrium phase-space distributions
Hoover, W. G. (1985) · Physical Review A · doi:10.1103/physreva.31.1695 · Cited by 23,465
Ryckaert, J.-P., Ciccotti, G., & Berendsen, H. J. C. (1977) · Journal of Computational Physics · doi:10.1016/0021-9991(77)90098-5 · Cited by 21,239
GROMACS: Fast, flexible, and free
Van Der Spoel, D., Lindahl, E., Hess, B., Groenhof, G., Mark, A. E., & Berendsen, H. J. C. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20291 · Cited by 19,182
A unified formulation of the constant temperature molecular dynamics methods
Nosé, S. (1984) · The Journal of Chemical Physics · doi:10.1063/1.447334 · Cited by 19,152
LINCS: A linear constraint solver for molecular simulations
Hess, B., Bekker, H., Berendsen, H. J. C., & Fraaije, J. G. E. M. (1997) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(199709)18:12<1463::aid-jcc4>3.0.co;2-h · Cited by 18,260
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
Principles of Polymer Chemistry.
Huggins, M. L. (1954) · Journal of the American Chemical Society · doi:10.1021/ja01639a090 · Cited by 16,550
Cited by
Perspective: Coarse-grained models for biomolecular systems
Noid, W. G. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4818908 · Cited by 893
Multiscale simulation of soft matter systems–from the atomistic to the coarse-grained level and back
Peter, C., & Kremer, K. (2009) · Soft Matter · doi:10.1039/b912027k · Cited by 465
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
Theoretical models for bridging timescales in polymer dynamics
Guenza, M. G. (2008) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/20/03/033101 · Cited by 70
Mechanics of membrane fusion/pore formation
Fuhrmans, M., Marelli, G., Smirnova, Y. G., & Müller, M. (2015) · Chemistry and Physics of Lipids · doi:10.1016/j.chemphyslip.2014.07.010 · Cited by 65
Metadata
- Authors
- MULLER, M., KATSOV, K., & SCHICK, M.
- Venue
- Physics Reports
- Publisher
- Elsevier BV
- Published
- 2006-11
- Volume
- 434
- Issue
- 5-6
- Pages
- 113-176
- ISSN
- 0370-1573 (ISSN-L)
- OpenAlex
- W2039981635
- Cited by
- 320
- References
- 365
- FWCI
- 8.60
- Type
- journal article
- Language
- en
- Open access
- green
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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.
