Literature DB >> 20420882

Modelling the optimal timing in metabolic pathway activation-use of Pontryagin's Maximum Principle and role of the Golden section.

Martin Bartl1, Pu Li, Stefan Schuster.   

Abstract

The time course of enzyme concentrations in metabolic pathways can be predicted on the basis of the optimality criterion of minimizing the time period in which an essential product is generated. This criterion is in line with the widely accepted view that high fitness requires high pathway flux. Here, based on Pontryagin's Maximum Principle, a method is developed to solve the corresponding constrained optimal control problem in an almost exclusively analytical way and, thus, to calculate optimal enzyme profiles, when linear, irreversible rate laws are assumed. Three different problem formulations are considered and the corresponding optimization results are derived. Besides the minimization of transition time, we consider an operation time in which 90% of the substrate has been converted into product. In that case, only the enzyme at the lower end of the pathway rather than all enzymes are active in the last phase. In all cases, biphasic or multiphasic time courses are obtained. The biological meaning of the results in terms of a consecutive just-in-time expression of metabolic genes is discussed. For the special case of two-enzyme systems, the role of the Golden section in the solution is outlined.

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Year:  2010        PMID: 20420882     DOI: 10.1016/j.biosystems.2010.04.007

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  13 in total

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3.  Invariance and optimality in the regulation of an enzyme.

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4.  On the evolutionary significance of the size and planarity of the proline ring.

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Review 5.  Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering.

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Journal:  Genome Biol       Date:  2011-03-21       Impact factor: 13.583

7.  Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs.

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8.  Optimal programs of pathway control: dissecting the influence of pathway topology and feedback inhibition on pathway regulation.

Authors:  Gundián M de Hijas-Liste; Eva Balsa-Canto; Jan Ewald; Martin Bartl; Pu Li; Julio R Banga; Christoph Kaleta
Journal:  BMC Bioinformatics       Date:  2015-05-16       Impact factor: 3.169

9.  Global dynamic optimization approach to predict activation in metabolic pathways.

Authors:  Gundián M de Hijas-Liste; Edda Klipp; Eva Balsa-Canto; Julio R Banga
Journal:  BMC Syst Biol       Date:  2014-01-06

10.  Dynamical Allocation of Cellular Resources as an Optimal Control Problem: Novel Insights into Microbial Growth Strategies.

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Journal:  PLoS Comput Biol       Date:  2016-03-09       Impact factor: 4.475

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