论文标题

有效制定可极化高斯多极静电剂进行生物分子模拟

Efficient Formulation of Polarizable Gaussian Multipole Electrostatics for Biomolecular Simulations

论文作者

Wei, Haixin, Qi, Ruxi, Wang, Junmei, Cieplak, Piotr, Duan, Yong, Luo, Ray

论文摘要

生物分子的分子动力学模拟在生物医学研究中已被广泛采用。随着经典的点荷格模型继续用于常规的生物分子应用,对开发可极化的力场来处理更复杂的生物分子过程的需求越来越大。在这里,我们关注最近提出的可极化高斯多极(PGM)模型,用于生物分子模拟。 PGM的一个关键优势是它以物理一致的方式筛选所有短程静电相互作用,这对于稳定的电荷拟合至关重要,并且需要重现分子各向异性。 PGM的另一个优点是,每个原子的多尔斯都由单个高斯函数或其衍生物表示,与其他基于高斯的模型相比,允许更有效的静电。在这项研究中,我们介绍了针对由一组共价基础向量形成的局部框架定义的PGM模型的有效公式。共价基矢量被选择沿每个原子的共价键指示。新的局部框架允许在分子模拟过程中的分子柔韧性,并促进了无需明确扭矩计算的分析静电力的有效制定。随后的数值测试表明,分析原子力与测试系统的数值有限差异力非常一致。最后,在周期性边界条件下,新的PGM静电算法与琥珀中的PME实现相连。为了验证整个PGM/PME静电,我们为512个水分子的小水箱进行了NVE模拟。我们的结果表明,要在可极化模型中实现节能,重要的是要确保PME和诱导迭代的准确性。

Molecular dynamics simulations of biomolecules have been widely adopted in biomedical studies. As classical point-charge models continue to be used in routine biomolecular applications, there have been growing demands on developing polarizable force fields for handling more complicated biomolecular processes. Here we focus on a recently proposed polarizable Gaussian Multipole (pGM) model for biomolecular simulations. A key benefit of pGM is its screening of all short-range electrostatic interactions in a physically consistent manner, which is critical for stable charge-fitting and is needed to reproduce molecular anisotropy. Another advantage of pGM is that each atom's multipoles are represented by a single Gaussian function or its derivatives, allowing for more efficient electrostatics than other Gaussian-based models. In this study we present an efficient formulation for the pGM model defined with respect to a local frame formed with a set of covalent basis vectors. The covalent basis vectors are chosen to be along each atom's covalent bonding directions. The new local frame allows molecular flexibility during molecular simulations and facilitates an efficient formulation of analytical electrostatic forces without explicit torque computation. Subsequent numerical tests show that analytical atomic forces agree excellently with numerical finite-difference forces for the tested system. Finally, the new pGM electrostatics algorithm is interfaced with the PME implementation in Amber for molecular simulations under the periodic boundary conditions. To validate the overall pGM/PME electrostatics, we conducted an NVE simulation for a small water box of 512 water molecules. Our results show that, to achieve energy conservation in the polarizable model, it is important to ensure enough accuracy on both PME and induction iteration.

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