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Membrane Sculpting by F-BAR Domains Studied by Molecular Dynamics Simulations

Overview of attention for article published in PLoS Computational Biology, January 2013
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Title
Membrane Sculpting by F-BAR Domains Studied by Molecular Dynamics Simulations
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002892
Pubmed ID
Authors

Hang Yu, Klaus Schulten

Abstract

Interplay between cellular membranes and their peripheral proteins drives many processes in eukaryotic cells. Proteins of the Bin/Amphiphysin/Rvs (BAR) domain family, in particular, play a role in cellular morphogenesis, for example curving planar membranes into tubular membranes. However, it is still unclear how F-BAR domain proteins act on membranes. Electron microscopy revealed that, in vitro, F-BAR proteins form regular lattices on cylindrically deformed membrane surfaces. Using all-atom and coarse-grained (CG) molecular dynamics simulations, we show that such lattices, indeed, induce tubes of observed radii. A 250 ns all-atom simulation reveals that F-BAR domain curves membranes via the so-called scaffolding mechanism. Plasticity of the F-BAR domain permits conformational change in response to membrane interaction, via partial unwinding of the domains 3-helix bundle structure. A CG simulation covering more than 350 µs provides a dynamic picture of membrane tubulation by lattices of F-BAR domains. A series of CG simulations identified the optimal lattice type for membrane sculpting, which matches closely the lattices seen through cryo-electron microscopy.

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Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Germany 2 2%
Spain 1 <1%
Norway 1 <1%
Unknown 112 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 27%
Researcher 30 25%
Student > Master 11 9%
Student > Bachelor 10 8%
Student > Doctoral Student 7 6%
Other 20 17%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 34%
Biochemistry, Genetics and Molecular Biology 31 26%
Chemistry 19 16%
Physics and Astronomy 8 7%
Chemical Engineering 2 2%
Other 8 7%
Unknown 12 10%