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ABSTRACT: This a model from the article: This model was taken from the CellML repository and automatically converted to SBML. 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. 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..
Modeling insulin kinetics: responses to a single oral glucose administration orambulatory-fed conditions.
Lenbury Y, Ruktamatakul S, Amornsamarnkul S. Biosystems 2001 Jan;59(1):15-25 11226623 ,
Abstract:
This paper presents a nonlinear mathematical model of the glucose-insulinfeedback system, which has been extended to incorporate the beta-cells' functionon maintaining and regulating plasma insulin level in man. Initially, agastrointestinal absorption term for glucose is utilized to effect the glucoseabsorption by the intestine and the subsequent release of glucose into thebloodstream, taking place at a given initial rate and falling off exponentiallywith time. An analysis of the model is carried out by the singular perturbationtechnique in order to derive boundary conditions on the system parameters whichidentify, in particular, the existence of limit cycles in our model systemconsistent with the oscillatory patterns often observed in clinical data. Wethen utilize a sinusoidal term to incorporate the temporal absorption of glucosein order to study the responses in the patients under ambulatory-fed conditions.A numerical investigation is carried out in this case to construct a bifurcationdiagram to identify the ranges of parametric values for which chaotic behaviorcan be expected, leading to interesting biological interpretations.
The original model was: Lenbury Y, Ruktamatakul S, Amornsamarnkul S. (2000) - version=1.0
The original CellML model was created by:
Catherine Lloyd
c.lloyd@auckland.ac.nz
The University of Auckland
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): Homo sapiens
SUBMITTER: Camille Laibe
PROVIDER: MODEL1006230045 | biostudies-other |
SECONDARY ACCESSION(S): 11035997
REPOSITORIES: biostudies-other

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