Multi-Grid Reaction-Diffusion Master Equation: Applications to Morphogen Gradient Modelling.

IF 2 4区 数学 Q2 BIOLOGY Bulletin of Mathematical Biology Pub Date : 2024-11-27 DOI:10.1007/s11538-024-01377-y
Radek Erban, Stefanie Winkelmann
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Abstract

The multi-grid reaction-diffusion master equation (mgRDME) provides a generalization of stochastic compartment-based reaction-diffusion modelling described by the standard reaction-diffusion master equation (RDME). By enabling different resolutions on lattices for biochemical species with different diffusion constants, the mgRDME approach improves both accuracy and efficiency of compartment-based reaction-diffusion simulations. The mgRDME framework is examined through its application to morphogen gradient formation in stochastic reaction-diffusion scenarios, using both an analytically tractable first-order reaction network and a model with a second-order reaction. The results obtained by the mgRDME modelling are compared with the standard RDME model and with the (more detailed) particle-based Brownian dynamics simulations. The dependence of error and numerical cost on the compartment sizes is defined and investigated through a multi-objective optimization problem.

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多网格反应-扩散主方程:形态发生梯度模型的应用
多网格反应扩散主方程(mgRDME)是对标准反应扩散主方程(RDME)所描述的基于随机区室的反应扩散模型的概括。通过对具有不同扩散常数的生化物种采用不同的网格分辨率,mgRDME 方法提高了基于区室的反应扩散模拟的准确性和效率。通过将 mgRDME 框架应用于随机反应-扩散情景中形态发生梯度的形成,并同时使用可分析的一阶反应网络和二阶反应模型,对其进行了检验。将 mgRDME 建模得到的结果与标准 RDME 模型和(更详细的)基于粒子的布朗动力学模拟进行了比较。通过一个多目标优化问题,定义并研究了误差和数值成本对隔室大小的依赖关系。
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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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