Literature DB >> 19368474

On removal of charge singularity in Poisson-Boltzmann equation.

Qin Cai1, Jun Wang, Hong-Kai Zhao, Ray Luo.   

Abstract

The Poisson-Boltzmann theory has become widely accepted in modeling electrostatic solvation interactions in biomolecular calculations. However the standard practice of atomic point charges in molecular mechanics force fields introduces singularity into the Poisson-Boltzmann equation. The finite-difference/finite-volume discretization approach to the Poisson-Boltzmann equation alleviates the numerical difficulty associated with the charge singularity but introduces discretization error into the electrostatic potential. Decomposition of the electrostatic potential has been explored to remove the charge singularity explicitly to achieve higher numerical accuracy in the solution of the electrostatic potential. In this study, we propose an efficient method to overcome the charge singularity problem. In our framework, two separate equations for two different potentials in two different regions are solved simultaneously, i.e., the reaction field potential in the solute region and the total potential in the solvent region. The proposed method can be readily implemented with typical finite-difference Poisson-Boltzmann solvers and return the singularity-free reaction field potential with a single run. Test runs on 42 small molecules and 4 large proteins show a very high agreement between the reaction field energies computed by the proposed method and those by the classical finite-difference Poisson-Boltzmann method. It is also interesting to note that the proposed method converges faster than the classical method, though additional time is needed to compute Coulombic potential on the dielectric boundary. The higher precision, accuracy, and efficiency of the proposed method will allow for more robust electrostatic calculations in molecular mechanics simulations of complex biomolecular systems.

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Year:  2009        PMID: 19368474     DOI: 10.1063/1.3099708

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  24 in total

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

Authors:  Marcia O Fenley; Michael Mascagni; James McClain; Alexander R J Silalahi; Nikolai A Simonov
Journal:  J Chem Theory Comput       Date:  2010-01-01       Impact factor: 6.006

2.  Numerical interpretation of molecular surface field in dielectric modeling of solvation.

Authors:  Changhao Wang; Li Xiao; Ray Luo
Journal:  J Comput Chem       Date:  2017-03-20       Impact factor: 3.376

3.  Dielectric pressure in continuum electrostatic solvation of biomolecules.

Authors:  Qin Cai; Xiang Ye; Ray Luo
Journal:  Phys Chem Chem Phys       Date:  2012-10-23       Impact factor: 3.676

4.  Exploring accurate Poisson-Boltzmann methods for biomolecular simulations.

Authors:  Changhao Wang; Jun Wang; Qin Cai; Zhilin Li; Hong-Kai Zhao; Ray Luo
Journal:  Comput Theor Chem       Date:  2013-11-15       Impact factor: 1.926

5.  Exploring a multi-scale method for molecular simulation in continuum solvent model: Explicit simulation of continuum solvent as an incompressible fluid.

Authors:  Li Xiao; Ray Luo
Journal:  J Chem Phys       Date:  2017-12-07       Impact factor: 3.488

6.  Exploring a coarse-grained distributive strategy for finite-difference Poisson-Boltzmann calculations.

Authors:  Meng-Juei Hsieh; Ray Luo
Journal:  J Mol Model       Date:  2010-12-03       Impact factor: 1.810

7.  Robustness and Efficiency of Poisson-Boltzmann Modeling on Graphics Processing Units.

Authors:  Ruxi Qi; Ray Luo
Journal:  J Chem Inf Model       Date:  2018-12-31       Impact factor: 4.956

8.  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

9.  On-the-fly Numerical Surface Integration for Finite-Difference Poisson-Boltzmann Methods.

Authors:  Qin Cai; Xiang Ye; Jun Wang; Ray Luo
Journal:  J Chem Theory Comput       Date:  2011-11-01       Impact factor: 6.006

10.  A Continuum Poisson-Boltzmann Model for Membrane Channel Proteins.

Authors:  Li Xiao; Jianxiong Diao; D'Artagnan Greene; Junmei Wang; Ray Luo
Journal:  J Chem Theory Comput       Date:  2017-06-14       Impact factor: 6.006

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