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Updated: Jun 18, 2026

Method to Visualize and Analyze Membrane Interacting Proteins by Transmission Electron Microscopy
Published on: March 5, 2017
Membrane binding by the endophilin N-BAR domain.
Haosheng Cui1, Gary S Ayton, Gregory A Voth
1Center of Biophysical Modeling and Simulation, University of Utah, Salt Lake City, Utah, USA.
Molecular dynamics simulations reveal how endophilin N-BAR domains bend lipid bilayers. The orientation of an internal helix dictates membrane curvature, influencing protein-lipid interactions and membrane shaping.
Area of Science:
- Biophysics
- Molecular Biology
- Structural Biology
Background:
- Endophilin N-terminal amphipathic helix Bin/Amphiphysin/Rvs-homology (N-BAR) domains possess a unique structure with an additional insert helix.
- The precise structure and function of this insert helix remain unclear due to limitations in crystallographic studies.
Purpose of the Study:
- To investigate the interaction of endophilin N-BAR domains with lipid bilayers using molecular dynamics simulations.
- To elucidate the role of the additional insert helix in membrane bending and curvature generation.
Main Methods:
- Large-scale molecular-dynamics simulations of a single endophilin N-BAR domain interacting with a lipid bilayer.
- Modeling various configurations of the insert helix to assess their impact on membrane bending.
- Residue-residue and residue-lipid headgroup distance analysis.
Main Results:
- The insert helix consistently maintains a perpendicular orientation to the N-BAR long axis during simulations.
- Membrane bending is directly correlated with the insert helix's orientation, with the perpendicular configuration yielding maximal curvature.
- The angle between N-BAR monomers is sensitive to the insert helix orientation.
Conclusions:
- A perpendicular orientation of the insert helix is crucial for significant membrane bending by endophilin N-BAR domains.
- The findings support a membrane sensing-binding-bending mechanism for endophilin-membrane interactions.
- Simulation results align with experimental mutation data, validating the proposed model.
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