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Published on: October 9, 2014
Contributions to membrane-embedded-protein diffusion beyond hydrodynamic theories.
Brian A Camley1, Frank L H Brown
1Department of Physics, University of California, Santa Barbara, California 93106, USA.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 26, 2012
Summary
Protein diffusion in lipid membranes deviates from Saffman-Delbrück theory. Our model suggests hydrodynamic effects, often neglected, significantly impact protein diffusion coefficients, restoring Saffman-Delbrück-like scaling with modified protein radius.
Area of Science:
- Biophysics
- Membrane Biophysics
- Soft Matter Physics
Background:
- Traditional Saffman-Delbrück theory describes protein diffusion in lipid membranes with weak radius dependence (D∼lnR).
- Recent experiments show a stronger dependence (D∼1/R), suggesting non-hydrodynamic drag sources like lipid chain interactions.
- This discrepancy challenges the universality of existing models for membrane protein dynamics.
Purpose of the Study:
- To investigate the influence of protein-membrane interactions on diffusion coefficients.
- To explore a generic model of protein coupling to scalar order parameters in lipid membranes.
- To re-evaluate the role of hydrodynamic effects versus other drag sources.
Main Methods:
- Development of a generic model for protein coupled to a nonconserved scalar order parameter.
- Analysis of drag forces considering different protein-order parameter coupling mechanisms.
- Inclusion of order parameter advection to model fluid membrane dynamics.
- Comparison of model predictions with experimental observations and Saffman-Delbrück theory.
Main Results:
- The model shows that drag dependence on protein radius is sensitive to the coupling mechanism.
- A D∼1/R scaling is achievable if the protein is much larger than the order parameter correlation length.
- Including advection in fluid membranes restores Saffman-Delbrück-like scaling (D∼lnR).
- The effective protein radius becomes dependent on the order parameter's correlation length.
Conclusions:
- Hydrodynamic effects remain crucial for accurately computing drag on membrane proteins.
- Non-hydrodynamic interactions alone may not fully explain observed diffusion behaviors.
- The dynamics of the membrane's order parameter significantly influence protein mobility.
- Existing models may need refinement to incorporate fluid membrane advection effects.
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