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Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Kinetic Screening of Nuclease Activity using Nucleic Acid Probes
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Analytical kinetic modeling: a practical procedure.

Gilles Curien1, María L Cárdenas, Athel Cornish-Bowden

  • 1CNRS, UMR 5168, Grenoble, France.

Methods in Molecular Biology (Clifton, N.J.)
|November 14, 2013
PubMed
Summary

This chapter provides a practical guide to building mathematical models of metabolic systems. It details simplifying metabolic pathways and deriving enzyme kinetics for simulations, focusing on practical application over theory.

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Area of Science:

  • Biochemistry
  • Systems Biology
  • Computational Biology

Background:

  • Metabolic systems are complex and require mathematical modeling for analysis.
  • Understanding enzyme kinetics is crucial for accurate metabolic modeling.
  • Previous approaches may require extensive mechanistic detail.

Purpose of the Study:

  • To present a practical procedure for dissecting and simplifying metabolic systems.
  • To guide the derivation and application of enzyme rate equations for modeling.
  • To enable the construction and simulation of metabolic mathematical models.

Main Methods:

  • Modeling a single enzyme with Michaelis-Menten kinetics in a metabolic pathway.
  • Establishing rules for isolating sub-systems for simulation.
  • Deriving simplified enzyme rate equations suitable for physiological conditions.

Main Results:

  • Demonstration of a practical approach to metabolic system modeling.
  • Successful derivation of simplified enzyme rate equations.
  • Methodology applicable to unbranched metabolic pathways and sub-system analysis.

Conclusions:

  • The described procedure offers a practical method for metabolic modeling and simulation.
  • Simplified enzyme kinetics are adequate for modeling physiological behavior.
  • The approach is accessible to those without prior metabolic control analysis theory.