Department of Mathematics, Michigan State University, Michigan, 48824.
Department of Electrical and Computer Engineering, Michigan State University, Michigan, 48824.
J Comput Chem. 2017 May 15;38(13):941-948. doi: 10.1002/jcc.24757. Epub 2017 Feb 16.
Poisson-Boltzmann (PB) model is one of the most popular implicit solvent models in biophysical modeling and computation. The ability of providing accurate and reliable PB estimation of electrostatic solvation free energy, ΔGel, and binding free energy, ΔΔGel, is important to computational biophysics and biochemistry. In this work, we investigate the grid dependence of our PB solver (MIBPB) with solvent excluded surfaces for estimating both electrostatic solvation free energies and electrostatic binding free energies. It is found that the relative absolute error of ΔGel obtained at the grid spacing of 1.0 Å compared to ΔGel at 0.2 Å averaged over 153 molecules is less than 0.2%. Our results indicate that the use of grid spacing 0.6 Å ensures accuracy and reliability in ΔΔGel calculation. In fact, the grid spacing of 1.1 Å appears to deliver adequate accuracy for high throughput screening. © 2017 Wiley Periodicals, Inc.
泊松-玻尔兹曼(PB)模型是生物物理建模和计算中最流行的隐溶剂模型之一。为计算生物物理学和生物化学提供准确可靠的静电溶剂化自由能ΔGel 和结合自由能ΔΔGel 的 PB 估算能力非常重要。在这项工作中,我们研究了溶剂排除表面的 PB 求解器(MIBPB)的网格依赖性,以估算静电溶剂化自由能和静电结合自由能。结果发现,与 0.2 Å 相比,在 1.0 Å 的网格间距下获得的ΔGel 的相对绝对误差在 153 个分子上的平均值小于 0.2%。我们的结果表明,使用 0.6 Å 的网格间距可确保ΔΔGel 计算的准确性和可靠性。实际上,1.1 Å 的网格间距似乎可提供用于高通量筛选的足够精度。©2017Wiley Periodicals, Inc.