Dataset Information
Radulescu2008_NFkB_hierarchy_M_8_12_19
Ontology highlight
ABSTRACT: This is a model of NFkB pathway functioning from hierarchy of models of decreasing complexity,created to demonstrate application of model reduction methods proposed in Radulescu O, Gorban A., Zinovyev A., Lilienbaum. A. Robust simplifications of multiscale models insystems biology. Manuscript submitted. The models are provided in CellDesigner v3.5format. The name of the model M(x,y,z) should bedeciphered as following: x - number of speciesy - number of reactionsz - number of parameters Simulation protocol:The model can be simulated in CellDesignerdirectly, or in any simulator supportingevents. The simulation period should beset up in 40 hours (t=144000 sec).The 'signal' event applies signal to thepathway at the moment t=20 hours=72000 sec. For additional information please contactAndrei.Zinovyev at curie.fr This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2011 The BioModels.net Team. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. NFkB model M(8,12,19)
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.
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.
ORGANISM(S): Mammalia
SUBMITTER: Andrei Zinovyev
PROVIDER: MODEL7743358405 | biostudies-other |
SECONDARY ACCESSION(S): 18854041
REPOSITORIES: biostudies-other
Publications
Robust simplifications of multiscale biochemical networks.
BMC systems biology 20081014
<h4>Background</h4>Cellular processes such as metabolism, decision making in development and differentiation, signalling, etc., can be modeled as large networks of biochemical reactions. In order to understand the functioning of these systems, there is a strong need for general model reduction techniques allowing to simplify models without loosing their main properties. In systems biology we also need to compare models or to couple them as parts of larger models. In these situations reduction to ...[more]