On the robustness of update schedules in Boolean networks

被引:89
作者
Aracena, J. [1 ]
Goles, E. [2 ,3 ]
Moreira, A. [3 ,4 ]
Salinas, L. [5 ]
机构
[1] Univ Concepcion, Dept Ingn Matemat, Concepcion, Chile
[2] Univ Adolfo Ibanez, Santiago, Chile
[3] Inst Sistemas Complejos ISCV, Valparaiso, Chile
[4] Univ Tecn Feder Santa Maria, Dept Informat, Valparaiso, Chile
[5] Univ Concepcion, Dept Ingn Informat & Ciencias Computac, Concepcion, Chile
关键词
Boolean network; Update schedule; Robustness; Attractor; Dynamical cycle; REGULATORY NETWORK; FEEDBACK LOOPS; DYNAMICS; MODELS; REQUIREMENTS; CYCLES;
D O I
10.1016/j.biosystems.2009.03.006
中图分类号
Q [生物科学];
学科分类号
090105 [作物生产系统与生态工程];
摘要
Deterministic Boolean networks have been used as models of gene regulation and other biological networks. One key element in these models is the update schedule, which indicates the order in which states are to be updated. We study the robustness of the dynamical behavior of a Boolean network with respect to different update schedules (synchronous, block-sequential, sequential), which can provide modelers with a better understanding of the consequences of changes in this aspect of the model. For a given Boolean network, we define equivalence classes of update schedules with the same dynamical behavior, introducing a labeled graph which helps to understand the dependence of the dynamics with respect to the update, and to identify interactions whose timing may be crucial for the presence of a particular attractor of the system. Several other results on the robustness of update schedules and of dynamical cycles with respect to update schedules are presented. Finally, we prove that our equivalence classes generalize those found in sequential dynamical systems. (C) 2009 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 33 条
[1]
The topology of the regulatory interactions predicts the expression pattern of the segment polarity genes in Drosophila melanogaster [J].
Albert, R ;
Othmer, HG .
JOURNAL OF THEORETICAL BIOLOGY, 2003, 223 (01) :1-18
[2]
A natural class of robust networks [J].
Aldana, M ;
Cluzel, P .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (15) :8710-8714
[3]
Synthetic biology: new engineering rules for an emerging discipline [J].
Andrianantoandro, Ernesto ;
Basu, Subhayu ;
Karig, David K. ;
Weiss, Ron .
MOLECULAR SYSTEMS BIOLOGY, 2006, 2 (1) :2006.0028
[4]
[Anonymous], [No title captured]
[5]
Regulatory network for cell shape changes during Drosophila ventral furrow formation [J].
Aracena, J ;
González, M ;
Zuñiga, A ;
Mendez, MA ;
Cambiazo, V .
JOURNAL OF THEORETICAL BIOLOGY, 2006, 239 (01) :49-62
[6]
Robustness and fragility of Boolean models for genetic regulatory networks [J].
Chaves, M ;
Albert, R ;
Sontag, ED .
JOURNAL OF THEORETICAL BIOLOGY, 2005, 235 (03) :431-449
[7]
Dynamical analysis of a generic Boolean model for the control of the mammalian cell cycle [J].
Faure, Adrien ;
Naldi, Aurelien ;
Chaouiya, Claudine ;
Thieffry, Denis .
BIOINFORMATICS, 2006, 22 (14) :E124-E131
[8]
GERSHENSON C, 2006, P 10 INT C SIM SYNTH, P35
[9]
Comparison between parallel and serial dynamics of Boolean networks [J].
Goles, E. ;
Salinas, L. .
THEORETICAL COMPUTER SCIENCE, 2008, 396 (1-3) :247-253
[10]
GINsim:: A software suite for the qualitative modelling, simulation and analysis of regulatory networks [J].
Gonzalez, A. Gonzalez ;
Naldi, A. ;
Sanchez, L. ;
Thieffry, D. ;
Chaouiya, C. .
BIOSYSTEMS, 2006, 84 (02) :91-100