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
收藏
页码：525 / 526
页数：2
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