612830
unit: 612866
unit: 612854
unit: 612842
name: flux
type: SBMLUnitsDef

612915
unit: 612939
unit: 612927
name: per_nanomolar
type: SBMLUnitsDef

612891
exponent: 1.0
scale: -9
multipler: 1.0
kind: MOLE
type: SBMLUnit

612842
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kind: MOLE
type: SBMLUnit

612903
exponent: -1.0
scale: 0
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kind: LITRE
type: SBMLUnit

366955
constant: true
units: 612830
value: 72.0
name: ai
type: Parameter

612939
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kind: LITRE
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612879
unit: 612903
unit: 612891
name: nanomolar
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366963
constant: false
units: 612879
value: -10.0
name: Yi
type: Parameter

366957
constant: true
units: 612830
value: 2.0
name: bi
type: Parameter

366965
constant: true
units: 612830
value: 0.0
name: beta_i
type: Parameter

612866
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multipler: 1.0
kind: SECOND
type: SBMLUnit

366948
constant: true
units: litre
size: 1.0
spatial dimensions: 3.0
type: Compartment

612818
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kind: SECOND
type: SBMLUnit

366953
constant: false
units: 612879
value: 7.0
name: Xi
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612927
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612806
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MODEL0911532520
parameter: 366967
units def: 612830
parameter: 366961
parameter: 366953
parameter: 366963
length unit: 027038
type: SBMLModel
units def: 612806
compartment: 366948
rule: 366950
area units: area
units def: 612879
parameter: 366955
notes: This a model from the article: Oscillatory behavior in enzymatic control processes. Goodwin BC. Adv Enzyme Regul 1965;3:425-38 5861813 , Abstract: The demonstration of negative feedback control processes operating at the molecular level in cells is one of the most significant developments in modern biology. The phenomena of feedback inhibition and feedback repression, whereby enzymatic activities are controlled at the level of the enzyme and the gene, respectively, provide a firm experimental basis for the construction of dynamic models which represent the fundamental regulatory activity of cells. The behavior of these and other molecular control circuits thus constitutes the basis of cell physiology, and in effect provides the physiologist with his elementary units of function. The purpose of this paper is to illustrate the type of periodic behavior which can arise in model systems incorporating the essential control features of enzymatic regulatory processes, and to discuss the significance of oscillatory motion in relation to the organization of cellular processes in time. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Goodwin BC. (1965) - 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 restrict…
parameter: 366965
volume units: volume
parameter: 366957
parameter: 366959
time units: 577459
substance units: 608838
rule: 366952
name: Goodwin1965_EnzymeControlProcess
is described by: http://identifiers.org/pubmed/5861813
units def: 612915
curated: false

612854
exponent: -1.0
scale: 0
multipler: 1.0
kind: LITRE
type: SBMLUnit

366959
constant: true
units: dimensionless
value: 36.0
name: Ai
type: Parameter

366967
constant: true
units: 612806
value: 1.0
name: alpha_i
type: Parameter

366961
constant: true
units: 612915
value: 1.0
name: ki
type: Parameter