Modeling Electrodynamic Interactions in Brownian Dynamics Simulations

IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Kyle A. Thackston;Mara D. Casebeer;Dimitri D. Deheyn;Andreas W. Götz;Daniel F. Sievenpiper
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Abstract

There is a great deal of interest in interactions between biomolecules and high frequency electromagnetic (EM) fields. To investigate these interactions, a variety of simulation methods are available. For small length and time scales (approximately $< $ $1 \,\mathrm{\mu }\mathrm{s}$ and $100 \,\mathrm{n}\mathrm{m}$ ), All-Atom Molecular Dynamics simulates every atom in the system. This captures the relevant physics to a high degree of accuracy. Phenomena such as electric field screening by counter-ions are emergent properties from the collective interactions of these atoms. For larger systems on longer time scales, however, this method is too computationally expensive. To reduce complexity, other simulation techniques such as Brownian Dynamics treat the solvent as a continuum, instead of explicitly. One typical assumption is that electric field interactions are electrostatic and subjected to Debye screening. Once charges start moving at high frequencies and velocities, however, charges are able to outrun the counter-ion cloud and this assumption breaks down. We propose a method of removing the electrostatic assumption without explicitly modeling the solvent or imposing a grid on the simulation. We demonstrate the charged wake can be modeled using a finite trail of charges. Interactions can be computed using electrostatic expressions only, but still capture electrodynamics.
布朗动力学模拟中的电动力学相互作用建模
生物分子与高频电磁场之间的相互作用引起了人们的极大兴趣。为了研究这些相互作用,可以使用各种模拟方法。对于较小的长度和时间尺度(大约$<;$$1\,\mathrm{\mu}\mathrm{s}$和$100\,\mathrm{n}\mathrm{m}$),全原子分子动力学模拟系统中的每个原子。这可以高精度地捕捉到相关的物理学。反离子的电场屏蔽等现象是这些原子集体相互作用产生的性质。然而,对于较长时间尺度上的较大系统,这种方法在计算上过于昂贵。为了降低复杂性,布朗动力学等其他模拟技术将溶剂视为一个连续体,而不是显式的。一个典型的假设是电场相互作用是静电的,并受到德拜屏蔽。然而,一旦电荷开始以高频率和高速度移动,电荷就能够逃离反离子云,这一假设就被打破了。我们提出了一种消除静电假设的方法,而无需对溶剂进行明确建模或在模拟中施加网格。我们证明了带电尾流可以使用有限的电荷轨迹进行建模。相互作用只能使用静电表达式来计算,但仍然可以捕捉电动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
9.40%
发文量
58
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