连续空间中基于粒子的反应扩散动力学模拟工具。

Q1 Biochemistry, Genetics and Molecular Biology
BMC Biophysics Pub Date : 2014-10-24 eCollection Date: 2014-01-01 DOI:10.1186/s13628-014-0011-5
Johannes Schöneberg, Alexander Ullrich, Frank Noé
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引用次数: 81

摘要

基于粒子的反应扩散算法有助于模拟细胞环境中单个分子的扩散运动和它们之间的反应。一个物理上真实的模型,取决于手头的系统和所问的问题,将需要不同层次的建模细节,如粒子扩散、几何限制、粒子体积排斥或粒子-粒子相互作用势。更高层次的细节通常对应于更多的参数和更高的计算成本。然而,某些系统需要对这些投资进行充分的建模。本文综述了在连续空间上运行的基于粒子的反应扩散软件包的研究现状。确定了四个嵌套的建模细节级别,以捕获增量的细节量。讨论了它们对不同生物学问题的适用性,从直接扩散模拟到复杂而昂贵的模型,这些模型连接到粗粒度分子动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Simulation tools for particle-based reaction-diffusion dynamics in continuous space.

Simulation tools for particle-based reaction-diffusion dynamics in continuous space.

Simulation tools for particle-based reaction-diffusion dynamics in continuous space.

Particle-based reaction-diffusion algorithms facilitate the modeling of the diffusional motion of individual molecules and the reactions between them in cellular environments. A physically realistic model, depending on the system at hand and the questions asked, would require different levels of modeling detail such as particle diffusion, geometrical confinement, particle volume exclusion or particle-particle interaction potentials. Higher levels of detail usually correspond to increased number of parameters and higher computational cost. Certain systems however, require these investments to be modeled adequately. Here we present a review on the current field of particle-based reaction-diffusion software packages operating on continuous space. Four nested levels of modeling detail are identified that capture incrementing amount of detail. Their applicability to different biological questions is discussed, arching from straight diffusion simulations to sophisticated and expensive models that bridge towards coarse grained molecular dynamics.

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BMC Biophysics
BMC Biophysics BIOPHYSICS-
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