Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Control analysis of time-dependent metabolic systems.

L Acerenza1, H M Sauro, H Kacser

  • 1Department of Genetics, University of Edinburgh, Scotland.

Journal of Theoretical Biology
|April 20, 1989
PubMed
Summary

This study extends Metabolic Control Analysis to time-dependent systems, introducing a new "time coefficient." It establishes summation and connectivity theorems for dynamic metabolic pathways, crucial for understanding enzyme regulation.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correction to 'Control and regulation of pathways via negative feedback'.

Journal of the Royal Society, Interface·2017
Same author

Mathematical modeling and synthetic biology.

Drug discovery today. Disease models·2016
Same author

A C library for retrieving specific reactions from the BioModels database.

Bioinformatics (Oxford, England)·2013
Same author

Metabolic control analysis for large changes: extension to variable elasticity coefficients.

Systems biology·2006
Same author

In silico evolution of functional modules in biochemical networks.

Systems biology·2006
Same author

The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.

Bioinformatics (Oxford, England)·2003

Area of Science:

  • Biochemistry
  • Systems Biology
  • Metabolic Engineering

Background:

  • Metabolic Control Analysis (MCA) traditionally focuses on steady-state metabolic systems.
  • Dynamic metabolic systems require extensions to MCA for comprehensive analysis.
  • Understanding enzyme concentration effects on metabolic pathway dynamics is essential.

Purpose of the Study:

  • To extend Metabolic Control Analysis (MCA) to time-dependent metabolic systems.
  • To define and incorporate a novel
  • time coefficient
  • into MCA frameworks.
  • To derive general summation and connectivity theorems for dynamic metabolic pathways.

Main Methods:

  • Formulating metabolite concentration derivatives as linear combinations of first-order rate laws.

Related Experiment Videos

  • Extending definitions of control and elasticity coefficients for dynamic systems.
  • Proving that simultaneous enzyme concentration scaling is equivalent to time scale modification.

    • Main Results:

    • A new
    • time coefficient
    • (T) is defined for dynamic systems.
    • Summation theorems linking control and time coefficients were derived.
    • Connectivity theorems relating control and elasticity coefficients were established for unbranched pathways.
    • A matrix-based mathematical proof for these relationships in time-dependent systems was provided.

    Conclusions:

    • The extended MCA framework provides new tools for analyzing dynamic metabolic control.
    • The derived theorems offer a method to express control coefficients using elasticity and time coefficients.
    • This work is foundational for understanding enzyme regulation in dynamic metabolic networks.