Low-dimensional projection of stochastic cell-signalling dynamics via a variational approach.,Physical Review E

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Low-dimensional projection of stochastic cell-signalling dynamics via a variational approach.
Physical Review E ( IF 2.2 ) Pub Date : 2020-01-01 , DOI: 10.1103/physreve.101.012402
Zhenzhen Huang ₁ , Yueheng Lan _{1,

2}

Affiliation

Noise and fluctuations play vital roles in signal transduction in cells. Various numerical techniques for its simulation have been proposed, most of which are not efficient in cellular networks with a wide spectrum of timescales. In this paper, based on a recently developed variational technique, low-dimensional structures embedded in complex stochastic reaction dynamics are unfolded which sheds light on new design principles of efficient simulation algorithm for treating noise in the mesoscopic world. This idea is effectively demonstrated in several popular regulation models with an empirical selection of test functions according to their reaction geometry, which not only captures complex distribution profiles of different molecular species but also considerably speeds up the computation.

中文翻译：

通过变分方法的随机细胞信号动力学的低维投影。

噪声和波动在细胞信号转导中起着至关重要的作用。已经提出了用于其模拟的各种数值技术，其中大多数在具有宽时标的蜂窝网络中效率不高。本文基于最新开发的变分技术，揭示了嵌入复杂随机反应动力学中的低维结构，为在介观世界中处理噪声的高效仿真算法的新设计原理提供了启示。这个想法在几种流行的调节模型中得到了有效的证明，根据它们的反应几何形状对试验功能进行了经验选择，不仅可以捕获不同分子种类的复杂分布曲线，而且可以大大加快计算速度。

更新日期：2020-01-08

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