ABSTRACT:
This a model from the article:
Computational insights on the competing effects of nitric oxide in regulating
apoptosis.
Bagci EZ, Vodovotz Y, Billiar TR, Ermentrout B, Bahar I. PLoS One
2008 May 28;3(5):e2249 18509469
,
Abstract:
Despite the establishment of the important role of nitric oxide (NO) on
apoptosis, a molecular-level understanding of the origin of its dichotomous pro-
and anti-apoptotic effects has been elusive. We propose a new mathematical model
for simulating the effects of nitric oxide (NO) on apoptosis. The new model
integrates mitochondria-dependent apoptotic pathways with NO-related reactions,
to gain insights into the regulatory effect of the reactive NO species N(2)O(3),
non-heme iron nitrosyl species (FeL(n)NO), and peroxynitrite (ONOO(-)). The
biochemical pathways of apoptosis coupled with NO-related reactions are
described by ordinary differential equations using mass-action kinetics. In the
absence of NO, the model predicts either cell survival or apoptosis (a bistable
behavior) with shifts in the onset time of apoptotic response depending on the
strength of extracellular stimuli. Computations demonstrate that the relative
concentrations of anti- and pro-apoptotic reactive NO species, and their
interplay with glutathione, determine the net anti- or pro-apoptotic effects at
long time points. Interestingly, transient effects on apoptosis are also
observed in these simulations, the duration of which may reach up to hours,
despite the eventual convergence to an anti-apoptotic state. Our computations
point to the importance of precise timing of NO production and external
stimulation in determining the eventual pro- or anti-apoptotic role of NO.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Bagci EZ, Vodovotz Y, Billiar TR, Ermentrout B, Bahar I. (2008) - version=1.0
The original CellML model was created by:
Wendy Kang
wkan014@aucklanduni.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 
