文章基本信息

标题：Random Boolean network models and the yeast transcriptional network
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作者：Stuart Kauffman ; Carsten Peterson ; Björn Samuelsson 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2003
卷号：100
期号：25
页码：14796-14799
DOI：10.1073/pnas.2036429100
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：The recently measured yeast transcriptional network is analyzed in terms of simplified Boolean network models, with the aim of determining feasible rule structures, given the requirement of stable solutions of the generated Boolean networks. We find that, for ensembles of generated models, those with canalyzing Boolean rules are remarkably stable, whereas those with random Boolean rules are only marginally stable. Furthermore, substantial parts of the generated networks are frozen, in the sense that they reach the same state, regardless of initial state. Thus, our ensemble approach suggests that the yeast network shows highly ordered dynamics.
关键词：genetic networks ; dynamical systems