438659
constant: true
units: 929849
value: 1.905
name: delta_R
type: Parameter

438661
constant: false
units: 929813
value: 1.0
name: U
type: Parameter

929849
unit: 929861
name: first_order_rate_constant
type: SBMLUnitsDef

438665
constant: false
units: 929813
value: 1.0
name: B1
type: Parameter

438639
constant: true
units: litre
size: 1.0
spatial dimensions: 3.0
type: Compartment

438679
constant: true
units: 929849
value: 35.6
name: G
type: Parameter

438703
constant: false
units: 929873
value: NaN
name: f2
type: Parameter

929982
exponent: 1.0
scale: -9
multipler: 1.0
kind: MOLE
type: SBMLUnit

438713
constant: true
units: 929849
value: 13.0
name: d01
type: Parameter

929764
unit: 929776
name: day
type: SBMLUnitsDef

438691
constant: true
units: 929813
value: 100.0
name: b
type: Parameter

438689
constant: true
units: 929873
value: 23300.0
name: a0
type: Parameter

929825
exponent: 1.0
scale: -9
multipler: 1.0
kind: MOLE
type: SBMLUnit

929957
exponent: -1.0
scale: 0
multipler: 86400.0
kind: SECOND
type: SBMLUnit

438707
constant: true
units: 929813
value: 6550.0
name: kappa0
type: Parameter

438717
constant: true
units: 929813
value: 0.25
name: P0
type: Parameter

438675
constant: true
units: 929813
value: 20.55
name: PE
type: Parameter

438669
constant: false
units: 929813
value: 1.0
name: B2
type: Parameter

438671
constant: true
units: 929849
value: 50.0
name: delta_b2
type: Parameter

929788
unit: 929801
name: nanomole
type: SBMLUnitsDef

438685
constant: false
units: 929873
value: NaN
name: f1
type: Parameter

929921
unit: 929957
unit: 929945
unit: 929933
name: per_nanomolar_day
type: SBMLUnitsDef

438695
constant: false
units: 929873
value: 1.0
name: x
type: Parameter

929861
exponent: -1.0
scale: 0
multipler: 86400.0
kind: SECOND
type: SBMLUnit

438681
constant: true
units: 929764
value: 1.0
name: ti
type: Parameter

930006
exponent: -2.0
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multipler: 86400.0
kind: SECOND
type: SBMLUnit

438699
constant: true
units: 929970
value: 371000.0
name: s
type: Parameter

929885
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438658
constant: false
units: 929813
value: 1.0
name: R
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930030
exponent: 1.0
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kind: SECOND
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438705
constant: true
units: 929873
value: 240000.0
name: kappa
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929909
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scale: 0
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kind: SECOND
type: SBMLUnit

438663
constant: true
units: 929849
value: 7.5
name: delta_U
type: Parameter

929994
exponent: -1.0
scale: 0
multipler: 1.0
kind: LITRE
type: SBMLUnit

929776
exponent: 1.0
scale: 0
multipler: 86400.0
kind: SECOND
type: SBMLUnit

438711
constant: true
units: 929921
value: 3.02
name: alpha1
type: Parameter

929837
exponent: -1.0
scale: 0
multipler: 1.0
kind: LITRE
type: SBMLUnit

438687
constant: true
units: 929873
value: 358000.0
name: a
type: Parameter

438701
constant: true
units: 929849
value: 0.207
name: delta_x
type: Parameter

438683
constant: true
units: 929764
value: 9.0
name: T
type: Parameter

438673
constant: false
units: 929813
value: NaN
name: P
type: Parameter

438693
constant: true
units: 929813
value: 263.0
name: b0
type: Parameter

438677
constant: false
units: dimensionless
value: NaN
name: q
type: Parameter

929945
exponent: 1.0
scale: 0
multipler: 1.0
kind: LITRE
type: SBMLUnit

438667
constant: true
units: 929849
value: 7.5
name: delta_b1
type: Parameter

438715
constant: true
units: 929849
value: 4720.0
name: d12
type: Parameter

929813
unit: 929837
unit: 929825
name: nanomolar
type: SBMLUnitsDef

438709
constant: true
units: 929921
value: 4.15
name: alpha0
type: Parameter

929801
exponent: 1.0
scale: -9
multipler: 1.0
kind: MOLE
type: SBMLUnit

438697
constant: true
units: 929813
value: 20.0
name: P1
type: Parameter

929933
exponent: -1.0
scale: -9
multipler: 1.0
kind: MOLE
type: SBMLUnit

929897
exponent: -1.0
scale: 0
multipler: 1.0
kind: LITRE
type: SBMLUnit

929970
unit: 930006
unit: 929994
unit: 929982
name: nanomolar_day2
type: SBMLUnitsDef

930018
unit: 930030
name: time
type: SBMLUnitsDef

MODEL7896869925
parameter: 438673
rule: 438645
parameter: 438709
rule: 438653
parameter: 438713
rule: 438649
parameter: 438701
parameter: 438658
parameter: 438691
rule: 438647
rule: 438655
parameter: 438669
name: Sobaleva2005_ProlactinRegulation
units def: 929849
compartment: 438639
parameter: 438715
units def: 929764
units def: 930018
parameter: 438703
units def: 929873
units def: 929788
parameter: 438699
rule: 438641
length unit: length
parameter: 438683
volume units: metaid_0000217
parameter: 438687
parameter: 438671
units def: 929813
parameter: 438675
parameter: 438693
curated: false
parameter: 438659
parameter: 438681
parameter: 438663
units def: 929970
units def: 929921
parameter: 438717
notes: This a model from the article: Mathematical modelling of prolactin-receptor interaction and the corollary for prolactin receptor gene expression in skin Soboleva TK, Vetharaniam I, Nixon AJ, Montenegro R, Pearson AJ, Sneyd J. J Theor Biol. (2005) 234(2); 289-98 15757685 , Abstract: A mathematical model of prolactin regulating its own receptors was developed, and compared with experimental data on a qualitative level. The model incorporates the kinetics of prolactin-receptor interactions and subsequent signalling by prolactin-receptor dimers to regulate the production of receptor mRNA and hence the receptor population. The model relates changes in plasma prolactin concentration to prolactin receptor (PRLR) gene expression, and can be used for predictive purposes. The cell signalling that leads to the activation of target genes, and the mechanisms for regulation of transcription, were treated empirically in the model. The model's parameters were adjusted so that model simulations agreed with experimentally observed responses to administration of prolactin in sheep. In particular, the model correctly predicts insensitivity of receptor mRNA regulation to a series of subcutaneous injections of prolactin, versus sensitivity to prolonged infusion of prolactin. In the latter case, response was an acute down-regulation followed by a prolonged up-regulation of mRNA, with the magnitude of the up-regulation increasing with the duration of infusion period. The model demonstrates the feasibility of predicting the in vivo response of prolactin target genes to external manipulation of plasma prolactin, and could provide a useful tool for identifying optimal prolactin treatments for desirable outcomes. This model was taken from the CellML repository and automatically converted to SBML. The original model was: soboleva, vetharaniam, nixon, montenegro, pearson, sneyd, 2005, version01 The original CellML model was created by: Lloyd, Catherine, May c.lloyd(at)auckland.ac.nz The Universi…
is described by: http://identifiers.org/pubmed/15757685
substance units: 106194
rule: 438657
rule: 438643
parameter: 438695
parameter: 438705
rule: 438651
area units: area
parameter: 438707
parameter: 438711
parameter: 438689
parameter: 438677
parameter: 438661
time units: 930018
parameter: 438665
parameter: 438679
parameter: 438697
type: SBMLModel
parameter: 438667
parameter: 438685

929873
unit: 929909
unit: 929897
unit: 929885
name: flux
type: SBMLUnitsDef