Literature DB >> 27016332

Markovian and Non-Markovian Modeling of Membrane Dynamics with Milestoning.

Alfredo E Cardenas1, Ron Elber1.   

Abstract

We exploit atomically detailed simulations and the milestoning theory to extract coarse grained models of membrane kinetics and thermodynamics. Non-Markovian and Markovian theories for the phosphate group displacements are used to coarsely represent membrane motions. The construction of the two models makes it possible to examine their consistency and accuracy. The equilibrium and fluctuations of the phosphate groups along the normal to the membrane plane are estimated, and milestoning equations are constructed and solved. An optimal Markovian model is constructed that reproduces exactly the equilibrium and mean first passage time (MFPT) of the non-Markovian model. The equilibrium solution of both models is favorably compared to distributions obtained from straightforward molecular dynamics simulations. The picture for the kinetics is complex. Multiple local relaxation times of the mass density are illustrated emphasizing the non-Markovian characteristics of the process. In Markovian modeling, only a single relaxation time is assumed for a state. Mapping of particle dynamics to the dynamics of a field density offers a new way of coarse graining complex systems as membranes that may bridge between atomically detailed models and phenomenological descriptions of macroscopic membranes.

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Year:  2016        PMID: 27016332      PMCID: PMC5001947          DOI: 10.1021/acs.jpcb.6b01890

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  37 in total

1.  Computing time scales from reaction coordinates by milestoning.

Authors:  Anton K Faradjian; Ron Elber
Journal:  J Chem Phys       Date:  2004-06-15       Impact factor: 3.488

2.  Umbrella sampling for nonequilibrium processes.

Authors:  Aryeh Warmflash; Prabhakar Bhimalapuram; Aaron R Dinner
Journal:  J Chem Phys       Date:  2007-10-21       Impact factor: 3.488

3.  CHARMM-GUI: a web-based graphical user interface for CHARMM.

Authors:  Sunhwan Jo; Taehoon Kim; Vidyashankara G Iyer; Wonpil Im
Journal:  J Comput Chem       Date:  2008-08       Impact factor: 3.376

4.  The MARTINI force field: coarse grained model for biomolecular simulations.

Authors:  Siewert J Marrink; H Jelger Risselada; Serge Yefimov; D Peter Tieleman; Alex H de Vries
Journal:  J Phys Chem B       Date:  2007-06-15       Impact factor: 2.991

Review 5.  Elastic modeling of biomembranes and lipid bilayers.

Authors:  Frank L H Brown
Journal:  Annu Rev Phys Chem       Date:  2008       Impact factor: 12.703

6.  Markovian milestoning with Voronoi tessellations.

Authors:  Eric Vanden-Eijnden; Maddalena Venturoli
Journal:  J Chem Phys       Date:  2009-05-21       Impact factor: 3.488

Review 7.  Perspective on the Martini model.

Authors:  Siewert J Marrink; D Peter Tieleman
Journal:  Chem Soc Rev       Date:  2013-08-21       Impact factor: 54.564

Review 8.  Fluorescence imaging of membrane dynamics.

Authors:  Jay T Groves; Raghuveer Parthasarathy; Martin B Forstner
Journal:  Annu Rev Biomed Eng       Date:  2008       Impact factor: 9.590

9.  Revisiting and computing reaction coordinates with Directional Milestoning.

Authors:  Serdal Kirmizialtin; Ron Elber
Journal:  J Phys Chem A       Date:  2011-04-18       Impact factor: 2.781

10.  Membrane Protein Simulations Using AMBER Force Field and Berger Lipid Parameters.

Authors:  Arnau Cordomí; Gianluigi Caltabiano; Leonardo Pardo
Journal:  J Chem Theory Comput       Date:  2012-02-21       Impact factor: 6.006

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  2 in total

1.  Subdiffusion in Membrane Permeation of Small Molecules.

Authors:  Christophe Chipot; Jeffrey Comer
Journal:  Sci Rep       Date:  2016-11-02       Impact factor: 4.379

2.  The time-fractional kinetic equation for the non-equilibrium processes.

Authors:  Ekrem Aydiner
Journal:  Sci Rep       Date:  2021-10-18       Impact factor: 4.379

  2 in total

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