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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

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 February 2013.
All research outputs
#16,737,737
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#7,220
of 8,964 outputs
Outputs of similar age
#187,883
of 291,016 outputs
Outputs of similar age from PLoS Computational Biology
#110
of 151 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 291,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.