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IFAC Proceedings Volumes
Article . 2008 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2008
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Optimal Metabolic Pathway Activation

Authors: Oyarzún, Diego A.; Ingalls, Brian; Middleton, Richard H.; Kalamatianos, Dimitrios;

Optimal Metabolic Pathway Activation

Abstract

This paper deals with temporal enzyme distribution in the activation of biochemical pathways. Pathway activation arises when production of a certain biomolecule is required due to changing environmental conditions. Under the premise that biological systems have been optimized through evolutionary processes, a biologically meaningful optimal control problem is posed. In this setup, the enzyme concentrations are assumed to be time dependent and constrained by a limited overall enzyme production capacity, while the optimization criterion accounts for both time and resource usage. Using geometric arguments we establish the bang-bang nature of the solution and reveal that each reaction must be sequentially activated in the same order as they appear in the pathway. The results hold for a broad range of enzyme dynamics which includes, but is not limited to, Mass Action, Michaelis-Menten and Hill Equation kinetics.

14 pages, 3 figures. Paper to be presented at the 17th IFAC World Congress, Seoul, Korea, July 2008

Country
Ireland
Keywords

Optimization and Control (math.OC), Molecular Networks (q-bio.MN), FOS: Biological sciences, FOS: Mathematics, Quantitative Biology - Molecular Networks, Quantitative Biology - Quantitative Methods, Mathematics - Optimization and Control, Quantitative Methods (q-bio.QM), Hamilton Institute

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
bronze