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

Metabolic control design

L Acerenza1

  • 1Department of Genetics, ICAPB, University of Edinburgh, U.K.

Journal of Theoretical Biology
|November 7, 1993
PubMed
Summary
This summary is machine-generated.

Metabolic Control Design (MCD) determines enzyme kinetics for desired metabolic control profiles. This method aids in understanding metabolic networks and enzyme interactions, with implications for evolutionary biology.

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

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

Systems biology·2006
Same author

A model combining cell physiology and population genetics to explain Escherichia coli laboratory evolution.

BMC evolutionary biology·2002
Same author

Occurrence of paradoxical or sustained control by an enzyme when overexpressed: necessary conditions and experimental evidence with regard to hepatic glucokinase.

The Biochemical journal·2001
Same author

Design of large metabolic responses. Constraints and sensitivity analysis.

Journal of theoretical biology·2000
Same author

Optimal metabolic control design.

Journal of theoretical biology·1998
Same author

Generalization of the double-modulation method for in situ determination of elasticities.

The Biochemical journal·1997
Same journal

The male-biased sex ratio in humans and its role in the transition from promiscuity to pair bonding.

Journal of theoretical biology·2026
Same journal

Quantifying the counter-intuitive effects of vaccination by coupling the transmission dynamics of COVID-19 and the evolution of human behaviors.

Journal of theoretical biology·2026
Same journal

An integrative model of FGF2-induced signaling and muscle cell proliferation.

Journal of theoretical biology·2026
Same journal

A hybrid reaction-diffusion and mechanical stimulus model for mandibular bone remodeling under chewing and vibratory loading.

Journal of theoretical biology·2026
Same journal

Integrated tick management strategies in fragmented peridomestic environments.

Journal of theoretical biology·2026
Same journal

Joint likelihood-free inference of the number of selected single nucleotide polymorphisms and their selection coefficients in an evolving population.

Journal of theoretical biology·2026
See all related articles

Area of Science:

  • Biochemistry
  • Systems Biology
  • Metabolic Engineering

Background:

  • Metabolic variables' responses to parameter changes are quantified by control coefficients.
  • Enzyme kinetics dictate the control profile within metabolic systems.

Purpose of the Study:

  • To introduce Metabolic Control Design (MCD) for calculating enzyme kinetic properties to achieve a desired control profile.
  • To explore the implications of MCD for detecting enzyme-metabolite interactions and understanding evolution.

Main Methods:

  • Developed the Metabolic Control Design (MCD) procedure for inverse control coefficient calculation.
  • Utilized conservation and summation relationships, alongside zero elasticity coefficients, to determine assignable control coefficients.

Related Experiment Videos

Main Results:

  • Demonstrated that MCD can determine enzyme kinetics for a preconceived control profile.
  • Showed that certain metabolite-enzyme interactions influence the number of assignable control coefficients.
  • Identified MCD's potential as an in situ method for detecting unknown interactions.

Conclusions:

  • MCD provides a framework for designing metabolic systems with specific control characteristics.
  • The study offers insights into the evolution of metabolic networks and enzyme functions.