Bauer Sebastian, Mathias Gerald, Tavan Paul
Lehrstuhl für BioMolekulare Optik, Ludwig-Maximilians Universität München, Oettingenstr. 67, 80538 München, Germany.
J Chem Phys. 2014 Mar 14;140(10):104102. doi: 10.1063/1.4867280.
We present a reaction field (RF) method which accurately solves the Poisson equation for proteins embedded in dielectric solvent continua at a computational effort comparable to that of an electrostatics calculation with polarizable molecular mechanics (MM) force fields. The method combines an approach originally suggested by Egwolf and Tavan [J. Chem. Phys. 118, 2039 (2003)] with concepts generalizing the Born solution [Z. Phys. 1, 45 (1920)] for a solvated ion. First, we derive an exact representation according to which the sources of the RF potential and energy are inducible atomic anti-polarization densities and atomic shielding charge distributions. Modeling these atomic densities by Gaussians leads to an approximate representation. Here, the strengths of the Gaussian shielding charge distributions are directly given in terms of the static partial charges as defined, e.g., by standard MM force fields for the various atom types, whereas the strengths of the Gaussian anti-polarization densities are calculated by a self-consistency iteration. The atomic volumes are also described by Gaussians. To account for covalently overlapping atoms, their effective volumes are calculated by another self-consistency procedure, which guarantees that the dielectric function ε(r) is close to one everywhere inside the protein. The Gaussian widths σ(i) of the atoms i are parameters of the RF approximation. The remarkable accuracy of the method is demonstrated by comparison with Kirkwood's analytical solution for a spherical protein [J. Chem. Phys. 2, 351 (1934)] and with computationally expensive grid-based numerical solutions for simple model systems in dielectric continua including a di-peptide (Ac-Ala-NHMe) as modeled by a standard MM force field. The latter example shows how weakly the RF conformational free energy landscape depends on the parameters σ(i). A summarizing discussion highlights the achievements of the new theory and of its approximate solution particularly by comparison with so-called generalized Born methods. A follow-up paper describes how the method enables Hamiltonian, efficient, and accurate MM molecular dynamics simulations of proteins in dielectric solvent continua.
我们提出了一种反应场(RF)方法,该方法能以与使用可极化分子力学(MM)力场进行静电计算相当的计算量,精确求解嵌入介电溶剂连续介质中的蛋白质的泊松方程。该方法将Egwolf和Tavan最初提出的方法[《化学物理杂志》118, 2039 (2003)]与推广用于溶剂化离子的玻恩解[《物理学报》1, 45 (1920)]的概念相结合。首先,我们推导了一种精确表示,根据该表示,RF势和能量的源是可诱导的原子反极化密度和原子屏蔽电荷分布。用高斯函数对这些原子密度进行建模会得到一种近似表示。在此,高斯屏蔽电荷分布的强度直接根据例如由各种原子类型的标准MM力场定义的静态部分电荷给出,而高斯反极化密度的强度通过自洽迭代计算。原子体积也用高斯函数描述。为了考虑共价重叠原子,通过另一种自洽程序计算它们的有效体积,这保证了介电函数ε(r)在蛋白质内部处处接近1。原子i的高斯宽度σ(i)是RF近似的参数。通过与球形蛋白质的柯克伍德解析解[《化学物理杂志》2, 351 (1934)]以及介电连续介质中简单模型系统(包括由标准MM力场建模的二肽(Ac - Ala - NHMe))的计算成本高昂的基于网格的数值解进行比较,证明了该方法的显著准确性。后一个例子展示了RF构象自由能景观对参数σ(i)的依赖有多弱。总结性讨论突出了新理论及其近似解的成就,特别是与所谓的广义玻恩方法进行比较。后续论文描述了该方法如何实现对介电溶剂连续介质中蛋白质的哈密顿、高效且准确的MM分子动力学模拟。