Subdiffusive-Brownian crossover in membrane proteins: a generalized Langevin equation-based approach
Biophysical Journal, vol. 120, pp. 4722–4737
Abstract
In this work, we propose a generalized Langevin equation-based model to describe the lateral diffusion of a protein in a lipid bilayer. The memory kernel is represented in terms of a viscous (instantaneous) and an elastic (noninstantaneous) component modeled through a Dirac δ function and a three-parameter Mittag-Leffler type function, respectively. By imposing a specific relationship between the parameters of the three-parameter Mittag-Leffler function, the different dynamical regimes-namely ballistic, subdiffusive, and Brownian, as well as the crossover from one regime to another-are retrieved. Within this approach, the transition time from the ballistic to the subdiffusive regime and the spectrum of relaxation times underlying the transition from the subdiffusive to the Brownian regime are given. The reliability of the model is tested by comparing the mean-square displacement derived in the framework of this model and the mean-square displacement of a protein diffusing in a membrane calculated through molecular dynamics simulations.
Authors 3
-
Loris Di Cairano Aachen Department of Physics Faculty of Mathematics, Computer Science and Natural Sciences
RWTH Aachen University · Forschungszentrum Jülich
Affiliation as printed
Department of Physics, Faculty of Mathematics, Computer Science and Natural Sciences, Aachen University, Aachen, Germany; Computational Biomedicine, Institute of Neuroscience and Medicine INM-9 and Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany. Electronic address: l.di.cairano@fz-juelich.de
Computational Biomedicine, Institute of Neuroscience and Medicine INM-9 and Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany
Department of Physics, Faculty of Mathematics, Computer Science and Natural Sciences, Aachen University, Aachen, Germany
-
Affiliation as printed
Applied and Computational Mathematics, Department of Mathematics, RWTH Aachen University, Aachen, Germany. Electronic address: best@acom.rwth-aachen.de
Applied and Computational Mathematics, Department of Mathematics, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Computational Biomedicine, Institute of Neuroscience and Medicine INM-9 and Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany. Electronic address: v.calandrini@fz-juelich.de
Computational Biomedicine, Institute of Neuroscience and Medicine INM-9 and Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany
Cited by 16 stored of 16
16 results
No patents citing this paper on Lens.org (checked 2026-10-06).