Computing Symbolic Steady States of Boolean Networks

被引:0
|
作者
Klarner, Hannes [1 ]
Bockmayr, Alexander [1 ]
Siebert, Heike [1 ]
机构
[1] Free Univ Berlin, FB Math & Informat, D-14195 Berlin, Germany
来源
CELLULAR AUTOMATA: 11TH INTERNATIONAL CONFERENCE ON CELLULAR AUTOMATA FOR RESEARCH AND INDUSTRY | 2014年 / 8751卷
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Asymptotic behavior is often of particular interest when analyzing asynchronous Boolean networks representing biological systems such as signal transduction or gene regulatory networks. Methods based on a generalization of the steady state notion, the so-called symbolic steady states, can be exploited to investigate attractor properties as well as for model reduction techniques conserving attractors. In this paper, we propose a novel optimization-based method for computing all maximal symbolic steady states and motivate their use. In particular, we add a new result yielding a lower bound for the number of cyclic attractors and illustrate the methods with a short study of a MAPK pathway model.
引用
收藏
页码:561 / 570
页数:10
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