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The derivation and interpretation of control coefficients.
1Rowett Research Institute, Bucksburn, Aberdeen, Scotland, U.K.
The Biochemical Journal
|October 1, 1987
Summary
This study introduces a novel method for deriving control coefficients, solving fewer equations than traditional control theorems. The findings suggest control coefficients are better for testing theories than measuring system control.
Area of Science:
- Systems Biology
- Biochemical Engineering
- Metabolic Engineering
Background:
- Control coefficients are crucial for analyzing metabolic regulation.
- Existing methods for calculating control coefficients can be computationally intensive.
- Understanding the limitations of control coefficients is essential for accurate systems analysis.
Purpose of the Study:
- To develop a more efficient method for deriving all control coefficients of a system.
- To critically evaluate the interpretation and utility of control coefficients as measures of control.
- To explore the application of control coefficients in testing theoretical models of biological systems.
Main Methods:
- A novel procedure for deriving multiple control coefficients simultaneously.
- Comparison of the new method with existing approaches based on control theorems.
- Analysis of the theoretical interpretation of control coefficients.
Main Results:
- The new method efficiently generates all control coefficients in a single procedure.
- Fewer simultaneous equations are required compared to methods based on control theorems.
- Control coefficients are demonstrated to be inadequate as direct measures of 'control'.
Conclusions:
- The proposed method offers a more efficient way to calculate control coefficients.
- Control coefficients are more valuable for validating control theories than for quantifying system control.
- This work provides a refined perspective on the application and interpretation of control coefficients in systems biology.