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ARGOS:用于线性化泊松-玻尔兹曼方程的自适应细化目标导向求解器。

ARGOS: An adaptive refinement goal-oriented solver for the linearized Poisson-Boltzmann equation.

机构信息

Institute for Theoretical Physics, Johannes Kepler University, Linz, Austria.

Faculty of Mathematics, University of Duisburg-Essen, Essen, Germany.

出版信息

J Comput Chem. 2021 Oct 5;42(26):1832-1860. doi: 10.1002/jcc.26716. Epub 2021 Jul 24.

Abstract

An adaptive finite element solver for the numerical calculation of the electrostatic coupling between molecules in a solvent environment is developed and tested. At the heart of the solver is a goal-oriented a posteriori error estimate for the electrostatic coupling, derived and implemented in the present work, that gives rise to an orders of magnitude improved precision and a shorter computational time as compared to standard finite difference solvers. The accuracy of the new solver ARGOS is evaluated by numerical experiments on a series of problems with analytically known solutions. In addition, the solver is used to calculate electrostatic couplings between two chromophores, linked to polyproline helices of different lengths and between the spike protein of SARS-CoV-2 and the ACE2 receptor. All the calculations are repeated by using the well-known finite difference solvers MEAD and APBS, revealing the advantages of the present finite element solver.

摘要

开发并测试了一种用于计算溶剂环境中分子间静电耦合的自适应有限元求解器。求解器的核心是一种目标导向的静电耦合后验误差估计,该估计是在本工作中推导和实现的,与标准有限差分求解器相比,它可以显著提高精度,并缩短计算时间。通过对一系列具有解析解的问题进行数值实验,评估了新求解器 ARGOS 的准确性。此外,还使用该求解器计算了两个发色团之间、连接不同长度聚脯氨酸螺旋的发色团之间以及 SARS-CoV-2 的刺突蛋白与 ACE2 受体之间的静电耦合。所有的计算都通过使用著名的有限差分求解器 MEAD 和 APBS 重复进行,揭示了本有限元求解器的优势。

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