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Related Experiment Videos

Co-response analysis: a new experimental strategy for metabolic control analysis

J H Hofmeyr1, A Cornish-Bowden

  • 1Dept. of Biochemistry, University of Stellenbosch, South Africa. jhsh@maties.sun.ac.za

Journal of Theoretical Biology
|October 7, 1996
PubMed
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This study shows that elasticity and control coefficient matrices are inverses, applicable to complex metabolic pathways. This allows for comprehensive system analysis without isolating individual enzymes.

Area of Science:

  • Systems biology
  • Metabolic engineering
  • Biochemical pathway analysis

Background:

  • Understanding metabolic regulation is crucial for predicting pathway behavior.
  • Current methods often require isolating enzymes, limiting holistic analysis.
  • Complex pathways with feedback and branching pose analytical challenges.

Purpose of the Study:

  • To present a general framework for analyzing metabolic control.
  • To demonstrate the inverse relationship between elasticity and control coefficient matrices.
  • To enable comprehensive pathway analysis without enzyme isolation.

Main Methods:

  • Formulating standard summation and connectivity relationships.
  • Utilizing co-response analysis to study enzyme perturbations.

Related Experiment Videos

  • Accounting for pathway stoichiometry and concentration dependencies.

    • Main Results:

    • The matrix of elasticities is the inverse of the matrix of control coefficients for independent fluxes and concentrations.
    • Co-response analysis is general and applicable to complex pathways.
    • All elasticities and control coefficients can be determined from steady-state perturbations.

    Conclusions:

    • A general method exists for determining all elasticities and control coefficients in any metabolic system.
    • This approach simplifies pathway analysis by avoiding enzyme isolation.
    • The findings are applicable to pathways with complex structures including feedback and branching.