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Harmonic averaging of smooth permittivity functions in finite-difference Poisson–Boltzmann Electrostatics

机译:有限差分泊松-玻尔兹曼静电学中光滑介电常数函数的谐波平均

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摘要

Finite-difference Poisson–Boltzmann calculations offer an efficient and accurate means for electrostatic characterization of solvated molecules. However, discretization of charge and permittivity results in sensitive dependence on molecular position and orientation relative to the finite-difference grid. In this article, an improved method for limiting the error associated with discretization of the molecular volume, combining harmonic averaging between grid vertices and Gaussian-based smooth permittivity functions, is presented. While both these methods have the broader result of a smoothly varying permittivity, the Gaussian model represents a fundamental description of the dielectric boundary while harmonic averaging serves to provide information about the permittivity between grid points. Grid positional error is reduced by an order of magnitude in calculations of Born ion solvation energies, small molecule and protein solvation energies, and the solvation energy contribution to a protein-inhibitor complex.
机译:有限差分泊松-玻尔兹曼计算为溶剂化分子的静电表征提供了一种有效而准确的方法。但是,电荷和介电常数的离散化导致相对于有限差分网格敏感地依赖于分子的位置和方向。在本文中,提出了一种改进的方法,该方法结合了网格顶点之间的谐波平均和基于高斯的平滑介电常数函数来限制与分子体积离散相关的误差。虽然这两种方法均具有平滑变化的介电常数的更广泛结果,但高斯模型代表了介电边界的基本描述,而谐波平均用于提供有关网格点之间介电常数的信息。在计算硼离子的溶剂化能,小分子和蛋白质的溶剂化能,以及溶剂化能对蛋白质-抑制剂复合物的贡献时,网格位置误差减少了一个数量级。

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