English

Anomalous versus slowed-down Brownian diffusion in the ligand-binding equilibrium

Quantitative Methods 2015-06-05 v2 Soft Condensed Matter Biological Physics

Abstract

Measurements of protein motion in living cells and membranes consistently report transient anomalous diffusion (subdiffusion) which converges back to a Brownian motion with reduced diffusion coefficient at long times, after the anomalous diffusion regime. Therefore, slowed-down Brownian motion could be considered the macroscopic limit of transient anomalous diffusion. On the other hand, membranes are also heterogeneous media in which Brownian motion may be locally slowed-down due to variations in lipid composition. Here, we investigate whether both situations lead to a similar behavior for the reversible ligand-binding reaction in 2d. We compare the (long-time) equilibrium properties obtained with transient anomalous diffusion due to obstacle hindrance or power-law distributed residence times (continuous-time random walks) to those obtained with space-dependent slowed-down Brownian motion. Using theoretical arguments and Monte-Carlo simulations, we show that those three scenarios have distinctive effects on the apparent affinity of the reaction. While continuous-time random walks decrease the apparent affinity of the reaction, locally slowed-down Brownian motion and local hinderance by obstacles both improve it. However, only in the case of slowed-down Brownian motion, the affinity is maximal when the slowdown is restricted to a subregion of the available space. Hence, even at long times (equilibrium), these processes are different and exhibit irreconcilable behaviors when the area fraction of reduced mobility changes.

Keywords

Cite

@article{arxiv.1207.5725,
  title  = {Anomalous versus slowed-down Brownian diffusion in the ligand-binding equilibrium},
  author = {Hédi Soula and Bertrand Caré and Guillaume Beslon and Hugues Berry},
  journal= {arXiv preprint arXiv:1207.5725},
  year   = {2015}
}

Comments

Biophysical Journal (2013)

R2 v1 2026-06-21T21:40:43.564Z