ABSTRACT:
This a model from the article:
The control systems structures of energy metabolism.
Cloutier M, Wellstead P. J R Soc Interface
2010 Apr 6;7(45):651-65 19828503
,
Abstract:
The biochemical regulation of energy metabolism (EM) allows cells to modulate
their energetic output depending on available substrates and requirements. To
this end, numerous biomolecular mechanisms exist that allow the sensing of the
energetic state and corresponding adjustment of enzymatic reaction rates. This
regulation is known to induce dynamic systems properties such as oscillations or
perfect adaptation. Although the various mechanisms of energy regulation have
been studied in detail from many angles at the experimental and theoretical
levels, no framework is available for the systematic analysis of EM from a
control systems perspective. In this study, we have used principles well known
in control to clarify the basic system features that govern EM. The major result
is a subdivision of the biomolecular mechanisms of energy regulation in terms of
widely used engineering control mechanisms: proportional, integral, derivative
control, and structures: feedback, cascade and feed-forward control. Evidence
for each mechanism and structure is demonstrated and the implications for
systems properties are shown through simulations. As the equivalence between
biological systems and control components presented here is generic, it is also
hypothesized that our work could eventually have an applicability that is much
wider than the focus of the current study.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Cloutier M, Wellstead P. (2009) - version=1.0
The original CellML model was created by:
Catherine Lloyd
c.lloyd@auckland.ac.nz
The University of Auckland
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To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
Camille Laibe 
