DocumentCode :
1663684
Title :
Pattern formation in enzyme inhibition and cooperativity with cellular automata
Author :
Yang, Xin-She
Author_Institution :
Fac. of Eng., Univ. of Wales, Swansea, UK
fYear :
2003
Abstract :
Enzyme reactions with inhibition and cooperativity are common in biological systems. A theoretical model for competitive and cooperative enzyme activity is formulated in terms of a pair of coupled nonlinear reaction-diffusion equations so as to derive the corresponding rule-based algorithm and nature-derived updating algorithms. A new stochastic cellular automaton is then constructed to simulate this nonlinear system. Numerical simulations show stable 2-D and 3-D pattern formation, and complex patterns have the interesting feature of self-organized criticality.
Keywords :
cellular automata; knowledge based systems; stochastic processes; biological systems; coupled nonlinear reaction-diffusion equations; enzyme inhibition; enzyme reactions; nature-derived updating algorithms; numerical simulations; pattern formation; rule-based algorithm; stochastic cellular automaton; Automata; Biochemistry; Biological system modeling; Biological systems; Couplings; Nonlinear equations; Nonlinear systems; Numerical simulation; Pattern formation; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2003. Proceedings. International
ISSN :
1530-2075
Print_ISBN :
0-7695-1926-1
Type :
conf
DOI :
10.1109/IPDPS.2003.1213271
Filename :
1213271
Link To Document :
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