Literature DB >> 20640228

Using Correlated Monte Carlo Sampling for Efficiently Solving the Linearized Poisson-Boltzmann Equation Over a Broad Range of Salt Concentration.

Marcia O Fenley1, Michael Mascagni, James McClain, Alexander R J Silalahi, Nikolai A Simonov.   

Abstract

Dielectric continuum or implicit solvent models provide a significant reduction in computational cost when accounting for the salt-mediated electrostatic interactions of biomolecules immersed in an ionic environment. These models, in which the solvent and ions are replaced by a dielectric continuum, seek to capture the average statistical effects of the ionic solvent, while the solute is treated at the atomic level of detail. For decades, the solution of the three-dimensional Poisson-Boltzmann equation (PBE), which has become a standard implicit-solvent tool for assessing electrostatic effects in biomolecular systems, has been based on various deterministic numerical methods. Some deterministic PBE algorithms have drawbacks, which include a lack of properly assessing their accuracy, geometrical difficulties caused by discretization, and for some problems their cost in both memory and computation time. Our original stochastic method resolves some of these difficulties by solving the PBE using the Monte Carlo method (MCM). This new approach to the PBE is capable of efficiently solving complex, multi-domain and salt-dependent problems in biomolecular continuum electrostatics to high precision. Here we improve upon our novel stochastic approach by simultaneouly computating of electrostatic potential and solvation free energies at different ionic concentrations through correlated Monte Carlo (MC) sampling. By using carefully constructed correlated random walks in our algorithm, we can actually compute the solution to a standard system including the linearized PBE (LPBE) at all salt concentrations of interest, simultaneously. This approach not only accelerates our MCPBE algorithm, but seems to have cost and accuracy advantages over deterministic methods as well. We verify the effectiveness of this technique by applying it to two common electrostatic computations: the electrostatic potential and polar solvation free energy for calcium binding proteins that are compared with similar results obtained using mature deterministic PBE methods.

Entities:  

Year:  2010        PMID: 20640228      PMCID: PMC2904251          DOI: 10.1021/ct9003806

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  45 in total

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2.  Accelerated Poisson-Boltzmann calculations for static and dynamic systems.

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3.  Electrostatically driven protein aggregation: beta-lactoglobulin at low ionic strength.

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4.  Effects of salt on the kinetics and thermodynamic stability of endonuclease I from Vibrio salmonicida and Vibrio cholerae.

Authors:  Laila Niiranen; Bjørn Altermark; Bjørn O Brandsdal; Hanna-Kirsti S Leiros; Ronny Helland; Arne O Smalås; Nils P Willassen
Journal:  FEBS J       Date:  2008-02-27       Impact factor: 5.542

5.  Ions and inhibitors in the binding site of HIV protease: comparison of Monte Carlo simulations and the linearized Poisson-Boltzmann theory.

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6.  Computation of molecular electrostatics with boundary element methods.

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Review 7.  Salt-dependent properties of proteins from extremely halophilic bacteria.

Authors:  J K Lanyi
Journal:  Bacteriol Rev       Date:  1974-09

8.  Effect of pH, salt, and biopolymer ratio on the formation of pea protein isolate-gum arabic complexes.

Authors:  Shuanghui Liu; Nicholas H Low; Michael T Nickerson
Journal:  J Agric Food Chem       Date:  2009-02-25       Impact factor: 5.279

9.  Interaction of antithrombin with sulfated, low molecular weight lignins: opportunities for potent, selective modulation of antithrombin function.

Authors:  Brian L Henry; Justin Connell; Aiye Liang; Chandravel Krishnasamy; Umesh R Desai
Journal:  J Biol Chem       Date:  2009-06-04       Impact factor: 5.157

10.  Treatment of charge singularities in implicit solvent models.

Authors:  Weihua Geng; Sining Yu; Guowei Wei
Journal:  J Chem Phys       Date:  2007-09-21       Impact factor: 3.488

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  4 in total

1.  Influence of Grid Spacing in Poisson-Boltzmann Equation Binding Energy Estimation.

Authors:  Robert C Harris; Alexander H Boschitsch; Marcia O Fenley
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

2.  Exploring a charge-central strategy in the solution of Poisson's equation for biomolecular applications.

Authors:  Xingping Liu; Changhao Wang; Jun Wang; Zhilin Li; Hongkai Zhao; Ray Luo
Journal:  Phys Chem Chem Phys       Date:  2012-11-13       Impact factor: 3.676

3.  Features of CPB: a Poisson-Boltzmann solver that uses an adaptive Cartesian grid.

Authors:  Marcia O Fenley; Robert C Harris; Travis Mackoy; Alexander H Boschitsch
Journal:  J Comput Chem       Date:  2014-11-27       Impact factor: 3.376

4.  Progress in developing Poisson-Boltzmann equation solvers.

Authors:  Chuan Li; Lin Li; Marharyta Petukh; Emil Alexov
Journal:  Mol Based Math Biol       Date:  2013-03-01
  4 in total

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