Literature DB >> 6466639

On computer simulation methods used to study models of two-component lipid bilayers.

N Jan, T Lookman, D A Pink.   

Abstract

We show that the use of a computer simulation method introduced to calculate the equilibrium thermodynamic properties of a model of a two-component lipid bilayer membrane [Freire, E., & Snyder, B. (1980) Biochemistry 19, 88-94] is incorrect. This is done by comparing the method to that of Metropolis, which has been proven to generate equilibrium distribution of that model, and by showing that back-processes have been omitted in the implicit master equation of Freire and Snyder. We have illustrated this explicitly by first generating distributions according to the method of Freire and Snyder and then allowing the system to relax via the Kawasaki method, which uses the technique of Metropolis. We show that relaxation to a different distribution occurs. We also remark that the cluster distributions generated by the Freire-Snyder method are substantially different from those occurring in equilibrium distributions. Thus, conclusions about equilibrium thermodynamic properties such as specific heats and transition enthalpies or about transport properties or cluster properties at equilibrium cannot be drawn from the results obtained by using this method. Finally, we point out that the method of Freire and Snyder is appropriate to so-called aggregation models, which have been used to study irreversible growth; and we suggest biological systems that might be simulated by their method.

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Year:  1984        PMID: 6466639     DOI: 10.1021/bi00309a017

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  14 in total

1.  FCS diffusion laws in two-phase lipid membranes: determination of domain mean size by experiments and Monte Carlo simulations.

Authors:  Cyril Favard; Jérôme Wenger; Pierre-François Lenne; Hervé Rigneault
Journal:  Biophys J       Date:  2011-03-02       Impact factor: 4.033

2.  Compositional redistribution and dynamic heterogeneity in mixed lipid membrane induced by polyelectrolyte adsorption: effects of chain rigidity.

Authors:  Xiaozheng Duan; Yunqi Li; Ran Zhang; Tongfei Shi; Lijia An; Qingrong Huang
Journal:  Eur Phys J E Soft Matter       Date:  2014-08-22       Impact factor: 1.890

3.  Monte Carlo simulation of two-component bilayers: DMPC/DSPC mixtures.

Authors:  I P Sugár; T E Thompson; R L Biltonen
Journal:  Biophys J       Date:  1999-04       Impact factor: 4.033

4.  Lateral dynamics of proteins with polybasic domain on anionic membranes: a dynamic Monte-Carlo study.

Authors:  Vladimir Yu Kiselev; Davide Marenduzzo; Andrew B Goryachev
Journal:  Biophys J       Date:  2011-03-02       Impact factor: 4.033

5.  Monte Carlo simulation of lipid mixtures: finding phase separation.

Authors:  J Huang; G W Feigenson
Journal:  Biophys J       Date:  1993-11       Impact factor: 4.033

6.  Geometrical properties of gel and fluid clusters in DMPC/DSPC bilayers: Monte Carlo simulation approach using a two-state model.

Authors:  I P Sugár; E Michonova-Alexova; P L Chong
Journal:  Biophys J       Date:  2001-11       Impact factor: 4.033

7.  Component and state separation in DMPC/DSPC lipid bilayers: a Monte Carlo simulation study.

Authors:  Ekaterina I Michonova-Alexova; István P Sugár
Journal:  Biophys J       Date:  2002-10       Impact factor: 4.033

8.  Nonideal mixing of phosphatidylserine and phosphatidylcholine in the fluid lamellar phase.

Authors:  J Huang; J E Swanson; A R Dibble; A K Hinderliter; G W Feigenson
Journal:  Biophys J       Date:  1993-02       Impact factor: 4.033

9.  E/M dips. Evidence for lipids regularly distributed into hexagonal super-lattices in pyrene-PC/DMPC binary mixtures at specific concentrations.

Authors:  D Tang; P L Chong
Journal:  Biophys J       Date:  1992-10       Impact factor: 4.033

10.  Effect of polyelectrolyte adsorption on lateral distribution and dynamics of anionic lipids: a Monte Carlo study of a coarse-grain model.

Authors:  Xiaozheng Duan; Ran Zhang; Yunqi Li; Yongbiao Yang; Tongfei Shi; Lijia An; Qingrong Huang
Journal:  Eur Biophys J       Date:  2014-06-28       Impact factor: 1.733

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