BioModelsapplication/xmlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177.pdfhttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177-biopax2.owlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177-biopax3.owlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177_url.xmlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177_urn.xmlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177.vcmlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177.xpphttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177.scihttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177.pnghttps://www.ebi.ac.uk/biomodels/model/download/MODEL0479926177?filename=MODEL0479926177.mprimaryOK200Vijayalakshmi ChelliahNon-curatedordinary differential equation modelL2V3https://www.ebi.ac.uk/biomodels/MODEL04799261771668715falseBioModelsSBMLModelsLenbury1991 CortisolSecretionSystem1991MODEL0479926177Y Lenbury, P PacheenburawanaY Lenbury1668715,
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.. 2, 26.
Department of Mathematics, Faculty of Science, Mahidol University, Bangkok, Thailand.viji@ebi.ac.ukEMBL-EBIA 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.Modelling fluctuation phenomena in the plasma cortisol secretion system in normal man.Lenbury Y Y, Pacheenburawana P PfalseLenbury1991_CortisolSecretionSystem
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
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.
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.
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..
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.
2009-04-282005-01-012009-04-28MODEL04799261771668715MODEL0479926177GO:00434009606