English

Diffusing proteins on a fluctuating membrane: Analytical theory and simulations

Soft Condensed Matter 2015-05-18 v1 Statistical Mechanics

Abstract

Using analytical calculations and computer simulations we consider both the lateral diffusion of a membrane protein and the fluctuation spectrum of the membrane in which the protein is embedded. The membrane protein interacts with the membrane shape through its spontaneous curvature and bending rigidity. The lateral motion of the protein may be viewed as diffusion in an effective potential, hence, the effective mobility is always reduced compared to the case of free diffusion. Using a rigorous path-integral approach we derive an analytical expression for the effective diffusion coefficient for small ratios of temperature and bending rigidity, which is the biologically relevant limit. Simulations show very good quantitative agreement with our analytical result. The analysis of the correlation functions contributing to the diffusion coefficient shows that the correlations between the stochastic force of the protein and the response in the membrane shape are responsible for the reduction. Our quantitative analysis of the membrane height correlation spectrum shows an influence of the protein-membrane interaction causing a distinctly altered wave-vector dependence compared to a free membrane. Furthermore, the time correlations exhibit the two relevant timescales of the system: that of membrane fluctuations and that of lateral protein diffusion with the latter typically much longer than the former. We argue that the analysis of the long-time decay of membrane height correlations can thus provide a new means to determine the effective diffusion coefficient of proteins in the membrane.

Keywords

Cite

@article{arxiv.1001.5188,
  title  = {Diffusing proteins on a fluctuating membrane: Analytical theory and simulations},
  author = {Ellen Reister-Gottfried and Stefan M. Leitenberger and Udo Seifert},
  journal= {arXiv preprint arXiv:1001.5188},
  year   = {2015}
}

Comments

12 pages, 8 figures

R2 v1 2026-06-21T14:40:43.826Z