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Boolean network-based analysis of the apoptosis network (Mai and Liu 2009)
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Accession:
144586
"To understand the design principles of the molecular interaction network associated with the irreversibility of cell apoptosis and the stability of cell surviving, we constructed a Boolean network integrating both the intrinsic and extrinsic pro-apoptotic pathways with pro-survival signal transduction pathways. We performed statistical analyses of the dependences of cell fate on initial states and on input signals. The analyses reproduced the well-known pro- and anti-apoptotic effects of key external signals and network components. We found that the external GF signal by itself did not change the apoptotic ratio from randomly chosen initial states when there is no external TNF signal, but can significantly offset apoptosis induced by the TNF signal. ..."
Reference:
1 .
Mai Z, Liu H (2009) Boolean network-based analysis of the apoptosis network: irreversible apoptosis and stable surviving.
J Theor Biol
259
:760-9
[
PubMed
]
Citations
Citation Browser
Model Information
(Click on a link to find other models with that property)
Model Type:
Molecular Network;
Brain Region(s)/Organism:
Generic;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Python;
Model Concept(s):
Methods;
Signaling pathways;
Boolean network;
Apoptosis;
Implementer(s):
Neymotin, Sam [Samuel.Neymotin at nki.rfmh.org];
Download the displayed file
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anetdemo
readme.html
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snutils.py
// $Id: init.hoc,v 1.1 2012/03/27 17:54:56 samn Exp $ load_file("grvec.hoc")
