Stochastic Modeling and Simulation of Reaction-Diffusion System with Hill Function Dynamics

被引：1

作者：

Chen, Minghan ^{[1
]}

Li, Fei ^{[1
]}

Wang, Shuo ^{[1
]}

Cao, Yang ^{[1
]}

机构：

[1] Virginia Tech, Dept Comp Sci, Blacksburg, VA 24061 USA

来源：

PROCEEDINGS OF THE 7TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS | 2016年

基金：

美国国家科学基金会;

关键词：

reaction diffusion master equation (RDME); Hill function; stochastic simulation; hybrid method; KINETICS;

D O I：

10.1145/2975167.2985668

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we demonstrate that in one dimensional domain, highly nonlinear reaction dynamics given by Hill function may have dramatic changes when discretization\ size is smaller than a critical value. Moreover, we discuss numerical methods to correctly (under certain precision) simulate Hill function dynamics in the microscopic RDME system.

引用

页码：525 / 526

页数：2

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