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Direct observation of Bin/amphiphysin/Rvs (BAR) domain-induced membrane curvature by means of molecular dynamics simulations
Open accessAbstract
The process of membrane curvature generation by BAR (Bin/amphiphysin/Rvs) domains is thought to involve the plastering of the negatively charged cell membrane to the positively charged concave surface of the BAR domain. Recent work [Peter, B. J., et al. (2004) Science , 303,495–499; Masuda, M., et al. (2006) EMBO J. 25, 2889–2897; and Gallop, J. L., et al. (2006) EMBO J. 25, 2898–2910] has demonstrated the importance of the charged, crescent-shaped surface and the N-terminal amphipathic helices (present in N-BAR domains) for generating membrane curvature. These experiments suggest that curvature is generated by the synergistic action of the N-terminal helices embedding in the lipid bilayer and the charged crescent-shaped dimer acting to “scaffold” membrane curvature. Here, we present atomistic molecular dynamics simulations that directly show membrane binding to the concave face of N-BAR domains, resulting in the generation of local membrane curvature that matches the curvature presented by the BAR domain. These simulations provide direct molecular-scale evidence that BAR domains create curvature by acting as a scaffold, forcing the membrane to locally adopt the intrinsic shape of the BAR domain. We find that BAR domains bind strongly through the maximum curvature surface and, additionally, at an orientation that presents a lesser degree of curvature, thus enabling N-BAR domains to induce a range of local curvatures. Finally, we find that the N-terminal region may play a role in biasing the orientations of N-BAR domains on the membrane surface to those that favor binding to the concave face and subsequent membrane bending.
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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
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
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
Curvature of clathrin-coated pits driven by epsin
Ford, M. G. J., Mills, I. G., Peter, B. J., Vallis, Y., Praefcke, G. J. K., Evans, P. R., & McMahon, H. T. (2002) · Nature · doi:10.1038/nature01020 · Cited by 1,019
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Chernomordik, L. V., & Kozlov, M. M. (2008) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1455 · Cited by 1,037
Endocytosis unplugged: Multiple ways to enter the cell
Kumari, S., MG, S., & Mayor, S. (2010) · Cell Research · doi:10.1038/cr.2010.19 · Cited by 599
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
Membrane proteins: molecular dynamics simulations
LINDAHL, E., & SANSOM, M. (2008) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2008.02.003 · Cited by 314
Muller, M. P., Jiang, T., Sun, C., Lihan, M., Pant, S., Mahinthichaichan, P., Trifan, A., & Tajkhorshid, E. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00608 · Cited by 282
Metadata
- Authors
- Blood, P. D., & Voth, G. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-10-10
- Volume
- 103
- Issue
- 41
- Pages
- 15068-15072
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2066978513
- Cited by
- 238
- References
- 4
- FWCI
- 6.38
- Type
- journal article
- Language
- en
- Open access
- green
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- Blood, P. D., & Voth, G. A. (2006). Direct observation of Bin/amphiphysin/Rvs (BAR) domain-induced membrane curvature by means of molecular dynamics simulations. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0603917103
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