Literature DB >> 23031053

Calculating diffusion and permeability coefficients with the oscillating forward-reverse method.

Bryan W Holland1, Chris G Gray, Bruno Tomberli.   

Abstract

The forward-reverse or FR method is an efficient bidirectional work method for determining the potential of mean force w(z) and also supposedly gives in principle the position-dependent diffusion coefficient D(z). Results from a variation called the OFR (oscillating FR) method suggest inconsistencies in the D(z) values when calculated as prescribed by the FR method. A new steering protocol has thus been developed and applied to the OFR method for the accurate determination of D(z) and also provides greater convergence for w(z) in molecular dynamics simulations. The bulk diffusion coefficient for water was found to be (6.03±0.16)×10(-5) cm2/s at 350 K with system size dependence within the statistical error bars. Using this steering protocol, D(z) and w(z) for water permeating a dipalmitoylphosphatidylcholine (DPPC) bilayer were determined. The potential of mean force is shown to have a barrier of peak height, wmax/(kBT)=8.4, with a width of about 10 Å on either side from the membrane center. The diffusion constant is shown to be highest in the core region of the membrane [peak value ∼(8.0±0.8)×10(-5) cm2/s], lowest in the head-group region [minimum value ∼(2.0±0.3)×10(-5) cm2/s], and to tend toward the bulk value as the water molecule leaves the membrane. The permeability coefficient P for H2O in DPPC was determined using the simulated D(z) and w(z) to give values of (0.129±0.075) cm/s at 323 K and (0.141±0.043) cm/s at 350 K. The results show more spatial detail than results presented in previous work while reducing the computational and user effort.

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Year:  2012        PMID: 23031053     DOI: 10.1103/PhysRevE.86.036707

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  5 in total

1.  A method to predict blood-brain barrier permeability of drug-like compounds using molecular dynamics simulations.

Authors:  Timothy S Carpenter; Daniel A Kirshner; Edmond Y Lau; Sergio E Wong; Jerome P Nilmeier; Felice C Lightstone
Journal:  Biophys J       Date:  2014-08-05       Impact factor: 4.033

2.  Simulation-Based Approaches for Determining Membrane Permeability of Small Compounds.

Authors:  Christopher T Lee; Jeffrey Comer; Conner Herndon; Nelson Leung; Anna Pavlova; Robert V Swift; Chris Tung; Christopher N Rowley; Rommie E Amaro; Christophe Chipot; Yi Wang; James C Gumbart
Journal:  J Chem Inf Model       Date:  2016-04-14       Impact factor: 4.956

3.  A Permeability Study of O2 and the Trace Amine p-Tyramine through Model Phosphatidylcholine Bilayers.

Authors:  Bryan W Holland; Mark D Berry; C G Gray; Bruno Tomberli
Journal:  PLoS One       Date:  2015-06-18       Impact factor: 3.240

4.  Subdiffusion in Membrane Permeation of Small Molecules.

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

5.  The adaptive biasing force method: everything you always wanted to know but were afraid to ask.

Authors:  Jeffrey Comer; James C Gumbart; Jérôme Hénin; Tony Lelièvre; Andrew Pohorille; Christophe Chipot
Journal:  J Phys Chem B       Date:  2014-10-07       Impact factor: 2.991

  5 in total

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