Title :
On Discovering Low Order Models in Biochemical Reaction Kinetics
Author :
Bamieh, B. ; Giarré, L.
Author_Institution :
Univ. of California at Santa Barbara, Santa Barbara
Abstract :
We develop a method by which a large number of differential equations representing biochemical reaction kinetics may be represented by a smaller number of differential equations. The basis of our technique is a conjecture that the high dimension equations of biochemical kinetics, which involve reaction terms of specific forms, are actually implementing a low dimension system whose behavior requires right hand sides that can not be biochemically implemented. For systems that satisfy this conjecture, we develop a simple approximation scheme based on multilinear algebra that extracts the low dimensional system from simulations of the high dimension system. We demonstrate this technique on a standard 10 dimensional model of circadian oscillations and obtain a 3 dimensional sub-model that has the same rhythmic, birhythmic and chaotic behavior of the original model.
Keywords :
biochemistry; chemical reactions; differential equations; approximation scheme; biochemical reaction kinetics; chaotic behavior; circadian oscillations; differential equations; high dimension system; low dimensional system; low order model discovery; multilinear algebra; Algebra; Chaos; Cities and towns; Differential equations; Kinetic theory; Limit-cycles; Nonlinear dynamical systems; Nonlinear equations; Polynomials; Proteins;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4283134