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The effect of feedback on pathway transient response.

J S Easterby

    The Biochemical Journal
    |February 1, 1986
    PubMed
    Summary

    Metabolic pathway transient behavior is influenced by three distinct times. Two are known, relating to intermediate pools, while the third, dependent on input rate, enzyme kinetics, substrate, and feedback, defines overall pathway dynamics.

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    Area of Science:

    • Biochemistry
    • Systems Biology
    • Metabolic Engineering

    Background:

    • Metabolic pathways exhibit complex dynamic behaviors.
    • Understanding transient states is crucial for predicting pathway responses to perturbations.
    • Previous models focused on intermediate pool dynamics, neglecting input rate effects.

    Purpose of the Study:

    • To investigate the impact of varying input rates on metabolic pathway transient behavior.
    • To identify and characterize all contributing factors to overall pathway transient times.
    • To develop a comprehensive model for metabolic pathway transient analysis.

    Main Methods:

    • Mathematical modeling of metabolic pathways.
    • Analysis of transient kinetic equations.
    • Derivation of expressions for transient times.
    • Simulation of pathway responses to changes in input rate.

    Main Results:

    • Identified three distinct transient times contributing to overall pathway dynamics.
    • Characterized a novel third transient time dependent on input rate, initial enzyme kinetics, substrate depletion, and feedback mechanisms.
    • Developed a comprehensive formula defining total pathway transient time.
    • Demonstrated that transition times between steady states are functions of individual steady-state establishment times.

    Conclusions:

    • The overall transient behavior of metabolic pathways is determined by three distinct time components.
    • The newly identified third transient time significantly impacts pathway dynamics and is influenced by multiple factors.
    • The developed model provides a more complete framework for analyzing and predicting metabolic pathway responses.

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