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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
Summary

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.

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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.

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  • 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.