Bernoff Andrew J, Lindsay Alan E
Department of Mathematics, Harvey Mudd College, Claremont, CA 91711, USA.
Department of Applied and Computational Math & Statistics, University of Notre Dame, Notre Dame, IN 46656, USA.
R Soc Open Sci. 2025 Feb 12;12(2):241033. doi: 10.1098/rsos.241033. eCollection 2025 Feb.
Cellular scale decision-making is modulated by the dynamics of signalling molecules and their diffusive trajectories from a source to small absorbing sites on the cellular surface. Diffusive capture problems which model this process are computationally challenging due to their complex geometry and mixed boundary conditions together with intrinsically long transients that occur before a particle is captured. This paper reports on a particle-based kinetic Monte Carlo (KMC) method that provides rapid accurate simulation of arrival statistics for (i) a half-space bounded by a surface with a finite collection of absorbing traps and (ii) the domain exterior to a convex cell, again with absorbing traps. We validate our method by replicating classical results and verifying some newly developed boundary homogenization theories and matched asymptotic expansions on capture rates. In the case of non-spherical domains, we describe a new shielding effect in which geometry can play a role in sharpening cellular estimates on the directionality of diffusive sources.
细胞尺度的决策是由信号分子的动力学及其从源到细胞表面小吸收位点的扩散轨迹所调节的。模拟此过程的扩散捕获问题由于其复杂的几何形状、混合边界条件以及粒子被捕获之前本质上的长时间瞬态而在计算上具有挑战性。本文报道了一种基于粒子的动力学蒙特卡罗(KMC)方法,该方法能为(i)由具有有限吸收陷阱集合的表面界定的半空间以及(ii)凸细胞外部的区域(同样具有吸收陷阱)提供快速准确的到达统计模拟。我们通过复制经典结果并验证一些新开发的边界均匀化理论以及捕获率的匹配渐近展开来验证我们的方法。在非球形区域的情况下,我们描述了一种新的屏蔽效应,其中几何形状可以在锐化细胞对扩散源方向性的估计方面发挥作用。