Lateral dynamics of charged lipids and peripheral proteins in spatially heterogeneous membranes: Comparison of continuous and Monte Carlo approaches

被引:8
|
作者
Kiselev, Vladimir Yu [2 ]
Leda, Marcin [2 ]
Lobanov, Alexey I. [3 ]
Marenduzzo, Davide [1 ]
Goryachev, Andrew B. [2 ]
机构
[1] Univ Edinburgh, Sch Phys & Astron, Edinburgh EH9 3JZ, Midlothian, Scotland
[2] Univ Edinburgh, Sch Biol Sci, Ctr Syst Biol, Edinburgh EH9 3JR, Midlothian, Scotland
[3] Moscow Inst Phys & Technol, Dept Computat Math, Dolgoprudnyi 141700, Russia
来源
JOURNAL OF CHEMICAL PHYSICS | 2011年 / 135卷 / 15期
关键词
C-KINASE SUBSTRATE; NERNST-PLANCK EQUATIONS; PHOSPHATIDYLINOSITOL 4,5-BISPHOSPHATE; BASIC PEPTIDES; DOMAIN FORMATION; ACIDIC LIPIDS; ELECTROSTATIC INTERACTIONS; PHOSPHOLIPID-MEMBRANES; SIGNAL-TRANSDUCTION; PHOSPHATIDIC-ACID;
D O I
10.1063/1.3652958
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Biological membranes are complex environments whose physico-chemical properties are of utmost importance for the understanding of many crucial biological processes. Much attention has been given in the literature to the description of membranes along the z-axis perpendicular to the membrane. Here, we instead consider the lateral dynamics of lipids and peripheral proteins due to their electrostatic interaction. Previously, we constructed a Monte Carlo automaton capable of simulating mutual diffusive dynamics of charged lipids and associated positively charged peptides. Here, we derive and numerically analyze a system of Poisson-Boltzmann-Nernst-Planck (PBNP) equations that provide a mean-field approximation compatible with our Monte Carlo model. The thorough comparison between the mean-field PBNP equations and Monte Carlo simulations demonstrates that both the approaches are in a good qualitative agreement in all tested scenarios. We find that the two methods quantitatively deviate when the local charge density is high, presumably because the Poisson-Boltzmann formalism is applicable in the so-called weak coupling limit, whose validity is restricted to low charge densities. Nevertheless, we conclude that the mean-field PBNP approach provides a good approximation for the considerably more detailed Monte Carlo model at only a fraction of the associated computational cost and allows simulation of the membrane lateral dynamics on the space and time scales relevant for the realistic biological problems. (C) 2011 American Institute of Physics. [doi:10.1063/1.3652958]
引用
收藏
页数:9
相关论文
共 7 条
  • [1] Lateral Dynamics of Proteins with Polybasic Domain on Anionic Membranes: A Dynamic Monte-Carlo Study
    Kiselev, Vladimir Yu.
    Marenduzzo, Davide
    Goryachev, Andrew B.
    BIOPHYSICAL JOURNAL, 2011, 100 (05) : 1261 - 1270
  • [2] MEAN-FIELD AND MONTE-CARLO SIMULATION STUDIES OF THE LATERAL DISTRIBUTION OF PROTEINS IN MEMBRANES
    SPEROTTO, MM
    MOURITSEN, OG
    EUROPEAN BIOPHYSICS JOURNAL, 1991, 19 (04) : 157 - 168
  • [3] USE OF MONTE-CARLO SIMULATIONS TO STUDY LATERAL ORGANIZATION OF LIPIDS IN PYR-PC/DMPC MEMBRANES
    SUGAR, IP
    TANG, DX
    CHONG, PLG
    BIOPHYSICAL JOURNAL, 1993, 64 (02) : A74 - A74
  • [4] Adaptive coarse-grained Monte Carlo simulation of reaction and diffusion dynamics in heterogeneous plasma membranes
    Stuart Collins
    Michail Stamatakis
    Dionisios G Vlachos
    BMC Bioinformatics, 11
  • [5] Adaptive coarse-grained Monte Carlo simulation of reaction and diffusion dynamics in heterogeneous plasma membranes
    Collins, Stuart
    Stamatakis, Michail
    Vlachos, Dionisios G.
    BMC BIOINFORMATICS, 2010, 11
  • [6] Effect of polyelectrolyte adsorption on lateral distribution and dynamics of anionic lipids: a Monte Carlo study of a coarse-grain model
    Xiaozheng Duan
    Ran Zhang
    Yunqi Li
    Yongbiao Yang
    Tongfei Shi
    Lijia An
    Qingrong Huang
    European Biophysics Journal, 2014, 43 : 377 - 391
  • [7] Effect of polyelectrolyte adsorption on lateral distribution and dynamics of anionic lipids: a Monte Carlo study of a coarse-grain model
    Duan, Xiaozheng
    Zhang, Ran
    Li, Yunqi
    Yang, Yongbiao
    Shi, Tongfei
    An, Lijia
    Huang, Qingrong
    EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS, 2014, 43 (8-9): : 377 - 391