Title
Modeling the Glycolysis: An Inverse Problem Approach
Abstract
We show in this paper that the metabolic chain can be supposed a potential-Hamiltonian system in which the dynamical flow can be shared between gradient dissipative and periodic conservative parts. If the chain is branched and if we know the fluxes at the extremities of each branch we can deduce information about the internal kinetics (e.g. place of allosteric and Michaelian step with respect to those of branching paths, cooperatively) from minimal additional measurements inside the black box constituted by the system. We will treat as example the glycolysis with the pentose pathway whose fluxes measurements are done at the pyruvate and pentose levels.
Year
DOI
Venue
2009
10.1109/WAINA.2009.135
AINA Workshops
Keywords
Field
DocType
biochemistry,cellular biophysics,inverse problems,reaction kinetics theory,dynamical flow,glycolysis modeling,gradient dissipative parts,inverse problem,metabolic chain,pentose pathway,periodic conservative parts,potential Hamiltonian system,pyruvate,enzymatic kinetics,generalized control strength coefficients,inverse problem,metabolic networks,potential-Hamiltonian decomposition
Mathematical optimization,Biological system,Computer science,Dissipative system,Pentose,Inverse problem,Pentose phosphate pathway,Black box,Periodic graph (geometry),Glycolysis,Distributed computing,Branching (version control)
Conference
Citations 
PageRank 
References 
1
0.43
3
Authors
2
Name
Order
Citations
PageRank
Jacques Demongeot137068.80
Doncescu, A.28625.70