Reyes-Palomares2012 - a combined model hepatic polyamine and sulfur aminoacid metabolism - version1

Reyes-Palomares2012 - a combined model
hepatic polyamine and sulfur aminoacid metabolism - version1

Mammalian polyamine metabolism consists of a bi-cycle with two
required entrances, omithine and S-adenosyl methionine (SAM), and
several alternative exists. The relevant regulatory roles of the
short half-life enzymes ornithine decarboxylase (ODC), S-adenosyl
methione decarboxylase (SAMDC) and spermindine/spermine acetyl
transferase (SSAT) in polyamine metabolism are well studied, and
has been modelled here.

This model is described in the article:

A combined model of hepatic
polyamine and sulfur amino acid metabolism to analyze
S-adenosyl methionine availability.

Reyes-Palomares A, Montañez R,
Sánchez-Jiménez F, Medina MA.
Amino Acids 2012 Feb; 42(2-3):
597-610
Abstract:

Many molecular details remain to be uncovered concerning the
regulation of polyamine metabolism. A previous model of
mammalian polyamine metabolism showed that S-adenosyl
methionine availability could play a key role in polyamine
homeostasis. To get a deeper insight in this prediction, we
have built a combined model by integration of the previously
published polyamine model and one-carbon and glutathione
metabolism model, published by different research groups. The
combined model is robust and it is able to achieve
physiological steady-state values, as well as to reproduce the
predictions of the individual models. Furthermore, a transition
between two versions of our model with new regulatory factors
added properly simulates the switch in methionine adenosyl
transferase isozymes occurring when the liver enters in
proliferative conditions. The combined model is useful to
support the previous prediction on the role of S-adenosyl
methionine availability in polyamine homeostasis. Furthermore,
it could be easily adapted to get deeper insights on the
connections of polyamines with energy metabolism.

Notes by the author:
This model combines BIOMD0000000190 and BIOMD0000000268 from
BioModels Database, both models include corrections respect to
their originals publications.

This model is hosted on
BioModels Database
and identified by:
BIOMD0000000674.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.

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