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Reducing complexity in metabolic networks: making metabolic meshes manageable.

Authors
  • Palsson, B O
  • Joshi, A
  • Ozturk, S S
Type
Published Article
Journal
Federation proceedings
Publication Date
Jun 01, 1987
Volume
46
Issue
8
Pages
2485–2489
Identifiers
PMID: 3297796
Source
Medline
License
Unknown

Abstract

The dynamics of complex systems can be effectively analyzed by judicious use of intrinsic time constants. Order of magnitude estimation based on time constants has been used successfully to examine the dynamic behavior of complicated processes. The main goal of this paper is to introduce this approach to the analysis of complex metabolic systems. Time constants and dynamic modes of motion are defined within the context of well-established linear algebra. The order of magnitude estimation is then introduced into the systemic framework. The main goals of the analysis are: to provide improved understanding of biochemical dynamics and their physiological significance, and to yield reduced dynamic models that are physiologically realistic but tractable for practical use.

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