Propagation of fluctuations in biochemical systems, I: linear SSC networks.
We investigate the propagation of random fluctuations through biochemical networks in which the number of molecules of each species is large enough so that the concentrations are well modeled by differential equations. We study the effect of network topology on the emergent properties of the reaction system by characterizing the behavior of variance as fluctuations propagate down chains and studying the effect of side chains and feedback loops. We also investigate the asymptotic behavior of the system as one reaction becomes fast relative to the others.
Anderson
David F
DF
Department of Mathematics, Duke University, Durham, NC 27708, USA.
Mattingly
Jonathan C
JC
Nijhout
H Frederik
HF
Reed
Michael C
MC
D001671:Biochemistry / Q000706:statistics & numerical data*; D002477:Cells / Q000378:metabolism; D005246:Feedback; D006706:Homeostasis; D007700:Kinetics; D016014:Linear Models; D008433:Mathematics; D008954:Models, Biological; D013269:Stochastic Processes