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MODEL0479926177 - Lenbury1991_CortisolSecretionSystem

 

The following model is part of the non-curated branch of BioModels Database. While the syntax of the model has been verified, its semantics remains unchecked. Any annotation present in the models is not a product of BioModels' annotators. We are doing our best to incorporate this model into the curated branch as soon as possible. In the meantime, we display only limited metadata here. For further information about the model, please download the SBML file.


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Reference Publication
Publication ID: 1668715
Lenbury Y, Pacheenburawana P.
Modelling fluctuation phenomena in the plasma cortisol secretion system in normal man.
BioSystems 1991; 26(2): 117-125
Department of Mathematics, Faculty of Science, Mahidol University, Bangkok, Thailand.  [more]
Model
Original Model: CellML logo
Submitter: Vijayalakshmi Chelliah
Submission Date: 28 Apr 2009 12:54:17 UTC
Last Modification Date: 28 Apr 2009 12:54:17 UTC
Creation Date: 28 Apr 2009 12:54:17 UTC
Encoders:
bqbiol:isVersionOf Gene Ontology cortisol secretion
bqbiol:hasTaxon Taxonomy Homo sapiens
Notes

This a model from the article:
Modelling fluctuation phenomena in the plasma cortisol secretion system in normal man.
Lenbury Y, Pacheenburawana P. Biosystems. 1991;26(2):117-25. 1668715 ,
Abstract:
A system of three non-linear differential equations with exponential feedback terms is proposed to model the self-regulating cortisol secretion system and explain the fluctuation patterns observed in clinical data. It is shown that the model exhibits bifurcation and chaos patterns for a certain range of parametric values. This helps us to explain clinical observations and characterize different dynamic behaviors of the self-regulative system.

This model was taken from the CellML repository and automatically converted to SBML.
The original model was: Lenbury Y, Pacheenburawana P. (1991) - version02
The original CellML model was created by:
Lloyd, Catherine, May
c.lloyd@aukland.ac.nz
The University of Auckland
The Bioengineering Institute

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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.

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