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Related Experiment Video

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Optimized Automated Analysis of Live Neuronal Mitochondria Homeostasis Modulation by Isoform-Specific Retinoic Acid Receptors

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Sequential activation of metabolic pathways: a dynamic optimization approach.

Diego A Oyarzún¹, Brian P Ingalls, Richard H Middleton

¹Hamilton Institute, National University of Ireland Maynooth, Maynooth, Co. Kildare, Ireland. diego.oyarzun@nuim.ie

Bulletin of Mathematical Biology

|May 5, 2009

Summary

This summary is machine-generated.

Cellular metabolism optimizes pathway activation by minimizing time and resources. Optimal enzyme concentrations follow a sequential, topology-matching profile, justifying observed activation patterns.

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Area of Science:

Systems Biology
Metabolic Engineering
Biochemical Pathway Analysis

Background:

Cellular metabolism must adapt to environmental changes through pathway regulation.
Observed sequential activation of metabolic pathways suggests underlying optimal design principles.
Existing numerical methods analyze pathway activation but lack broad kinetic applicability.

Purpose of the Study:

To formulate a dynamic optimization problem for time-resource minimization in metabolic pathway activation.
To analyze pathway activation under constrained total enzyme abundance.
To provide an analytic justification for sequential enzyme activation.

Main Methods:

Developed a dynamic optimization model for unbranched metabolic pathways with irreversible kinetics.
Optimized time-dependent enzyme concentrations to achieve a steady state with a prescribed metabolic flux.
Analyzed solutions for a generic class of monomolecular kinetics, including Mass Action and Michaelis-Menten.

Main Results:

Optimal solutions feature enzymes switching between zero and maximum concentrations.
A temporal sequence of enzyme activation emerges, matching the pathway's topology.
This sequential activation is analytically proven optimal for a broad range of kinetics.

Conclusions:

Sequential enzyme expression is a robust property of optimal metabolic pathway activation.
The findings provide a theoretical basis for experimentally observed sequential activation patterns.
This optimization principle may be a common feature of metabolic regulation across different organisms.