The transition from differential equations to Boolean networks: a case study in simplifying a regulatory network model.
Methods for modeling cellular regulatory networks as diverse as differential equations and Boolean networks co-exist, however, without much closer correspondence to each other. With the example system of the fission yeast cell cycle control network, we here discuss these two approaches with respect to each other. We find that a Boolean network model can be formulated as a specific coarse-grained limit of the more detailed differential equations model for this system. This demonstrates the mathematical foundation on which Boolean networks can be applied to biological regulatory networks in a controlled way.
Davidich
Maria
M
Institute for Theoretical Physics, University of Bremen, Otto-Hahn-Allee, D-28359 Bremen, Germany. davidich@itp.uni-bremen.de
Bornholdt
Stefan
S
D002453:Cell Cycle / Q000235:genetics; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000706:statistics & numerical data; D053263:Gene Regulatory Networks; D008957:Models, Genetic; D015233:Models, Statistical; D015003:Yeasts / Q000235:genetics