Methods of Biochemical Systems Theory

Néstor V. Torres; Eberhard O. Voit

doi:10.1017/CBO9780511546334.003

2 - Methods of Biochemical Systems Theory

Published online by Cambridge University Press: 28 July 2009

Néstor V. Torres and

Eberhard O. Voit

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Néstor V. Torres: Affiliation:
Universidad de la Laguna, Tenerife
Eberhard O. Voit: Affiliation:
Medical University of South Carolina

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Summary

The appeal of the power-law approximation for representing enzyme-catalyzed reactions has led to the development of an entire modeling framework that is known in the field as Biochemical Systems Theory (BST). Hundreds of theoretical treatises and applications concerned with BST have been published in the peer-reviewed literature, in books, abstracts, and presentations. It is not the purpose of this chapter to provide a detailed and comprehensive treatment, and we will only highlight topics that are of relevance for the remainder of the book. The reader interested in further details, hands-on examples, and exercises is referred to a recent, comprehensive textbook on the subject (Voit 2000).

The typical modeling process contains the following components:

Model Design
Dynamic Analysis
Steady-State Analysis
Evaluation and Interpretation of Results

That looks pretty straightforward and simple. In reality, however, the process is not as direct as it may seem, but cyclic in nature. The first model design is seldom all encompassing and optimal. This usually becomes clear from the dynamic and steady-state analyses of the model or during the evaluation and interpretation of results. Indicators of potential problems arise in the form of discrepancies between model and observations, lack of robustness, or predictions that may not even be testable at the present time, but are suspect for one reason or another.

Diagnosis of these flaws may require further analyses that pinpoint the problems as precisely as possible and ultimately suggest a change in model design.

Type: Chapter
Information: Pathway Analysis and Optimization in Metabolic Engineering , pp. 42 - 74

DOI: https://doi.org/10.1017/CBO9780511546334.003 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2002

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