Model Identifier
BIOMD0000000307
Short description

This is an SBML implementation the model of the substrate depletion oscillator (figure 2c) described in the article:
Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell.
Tyson JJ, Chen KC, Novak B. Curr Opin Cell Biol. 2003 Apr;15(2):221-31. PubmedID:12648679; DOI:10.1016/S0955-0674(03)00017-6;

Abstract:
The physiological responses of cells to external and internal stimuli are governed by genes and proteins interacting in complex networks whose dynamical properties are impossible to understand by intuitive reasoning alone. Recent advances by theoretical biologists have demonstrated that molecular regulatory networks can be accurately modeled in mathematical terms. These models shed light on the design principles of biological control systems and make predictions that have been verified experimentally.

Originally created by libAntimony v1.4 (using libSBML 3.4.1)

This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
For more information see the terms of use.
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.

Format
SBML (L2V4)
Related Publication
  • Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. Click here to expand
  • John J Tyson, Katherine C Chen, Bela Novak
  • Current opinion in cell biology , 4/ 2003 , Volume 15 , Issue 2 , pages: 221-231 , PubMed ID: 12648679
  • Department of Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. tyson@vt.edu
  • The physiological responses of cells to external and internal stimuli are governed by genes and proteins interacting in complex networks whose dynamical properties are impossible to understand by intuitive reasoning alone. Recent advances by theoretical biologists have demonstrated that molecular regulatory networks can be accurately modeled in mathematical terms. These models shed light on the design principles of biological control systems and make predictions that have been verified experimentally.
Contributors
Submitter of the first revision: Lukas Endler
Submitter of this revision: Lucian Smith
Curator: Lucian Smith
Modeller: Lukas Endler

Metadata information

is (2 statements)
BioModels Database BIOMD0000000307
BioModels Database MODEL1102100006

isDescribedBy (1 statement)
PubMed 12648679

hasTaxon (1 statement)
isVersionOf (1 statement)
Gene Ontology regulation of binding

hasProperty (1 statement)
Mathematical Modelling Ontology Ordinary differential equation model


Curation status
Curated


Connected external resources

Visualisation of this model on Menelmacar platform