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Modeling Biochemical Networks: A Cellular‐Automata Approach
Author(s) -
Kier Lemont B.,
Bonchev Danail,
Buck Gregory A.
Publication year - 2005
Publication title -
chemistry and biodiversity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 70
eISSN - 1612-1880
pISSN - 1612-1872
DOI - 10.1002/cbdv.200590006
Subject(s) - cascade , cooperativity , chemistry , mapk/erk pathway , enzyme , cellular automaton , signal transduction , kinase , microbiology and biotechnology , protein kinase a , biophysics , computational biology , biochemistry , biology , computer science , chromatography , algorithm
The potential of the cellular‐automata (CA) method for modeling biological networks is demonstrated for the mitogen‐activated protein kinase (MAPK) signaling cascade. The models derived reproduced the high signal amplification through the cascade and the deviation of the cascade enzymes from the Michaelis–Menten kinetics, evidencing cooperativity effects. The patterns of pathway change upon varying substrate concentrations and enzyme efficiencies were identified and used to show the ways for controlling pathway processes. Guidance in the selection of enzyme inhibition targets with minimum side effects is one outcome of the study.