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Table 2 Independent parameter estimates and properties of their models

From: Modeling the dynamics of mouse iron body distribution: hepcidin is necessary but not sufficient

 

#1

#2

#3

#4

#5

#6

#7

#8

#9

#10

CV

Optimization algorithmsa

SRES

SRES HJ

PS

SRES HJ Praxis

GA SRES

SRES

SRES GA GASR

SRES

GA HJ

SRES

 

Sum squares

0.01906

0.01906

0.01908

0.01909

0.01918

0.01917

0.01937

0.01943

0.01970

0.01975

 

kInDuo (d -1 )

0.236

0.251

0.322

0.131

0.250

0.0690

0.158

0.134

0.0381

0.0347

61.1%

kInLiver (d -1 )

9.40

9.99

12.7

5.35

10.3

2.98

6.83

5.72

1.69

1.55

58.3%

kInRBC (d -1 )

1.09

1.09

1.10

1.09

1.08

1.08

1.04

1.07

1.19

1.20

4.64%

kInRest (d -1 )

18.3

19.4

24.7

10.4

22.0

6.16

13.9

11.3

3.20

2.95

58.6%

kInBM (d -1 )

49.5

52.7

67.1

28.1

58.8

15.8

35.3

29.7

9.07

8.26

59.1%

kDuoLoss (d -1 )

5.00.10-4

5.45.10-4

5.05.10-4

9.29.10-4

0.00359

0.0270

0.0313

9.38.10-4

0.00150

0.00150

173%

kRestOut (d -1 )

0.0238

0.0239

0.0239

0.0238

0.0234

0.0236

0.0234

0.0236

0.0236

0.0234

0.851%

kBMSpleen (d -1 )

0.173

0.173

0.183

0.143

0.0453

0.0619

0.0680

0.0900

0.0585

0.0567

53.3%

VDuoNTBI (mol d -1 )

2.03

11.4

3.56

0.792

0.910

0.200

0.200

0.901

0.0978

0.566

167%

VLiverNTBI (mol d -1 )

0.551

3.15

0.982

0.203

0.0946

0.0261

0.0295

0.204

0.00847

0.0937

181%

VSpleenNTBI (mol d -1 )

35.5

202

63.9

12.6

4.86

1.342

1.49

10.9

0.434

3.89

185%

VRestNTBI (mol d -1 )

0.350

2.01

0.634

0.121

0.0212

0.0109

0.0128

0.102

0.00119

0.0114

191%

vRBCSpleen (d -1 )

0.0833

0.0831

0.0870

0.0706

0.0132

0.0235

0.0283

0.043

0.0209

0.0190

64.4%

Km (M)

0.239

1.38

0.412

0.100

0.128

0.0159

0.0145

0.119

0.00850

0.117

164%

vDiet (M d -1 )

0.0042

0.0042

0.0042

0.0042

0.00318

0.00377

0.00397

0.0042

0.0042

0.0042

8.25%

kNTBI_Fe1Tf (M -1 d -1 )

5.107

5.107

5.107

5.107

4.98.106

1.08.109

5.25.108

5.107

5.107

5.107

176%

kFe1Tf_Fe2Tf (M -1 d -1 )

5.107

5.107

5.107

5.107

10.1

1.08.109

5.25.108

5.107

5.107

5.107

177%

TF saturation (%)

46.6

43.7

36.0

70.0

7.15

47.0

25.1

43.7

70.0

70.0

 

Total Fe (mg)

2.01

2.01

2.00

2.04

2.20

2.20

2.20

2.20

2.20

2.20

 

RBC trans. Time (d)

12.0

12.0

11.5

14.2

75.9

42.5

35.3

23.3

47.9

52.6

 
  1. Model #6 was chosen due to its RBC transition time and Tf saturation being closer to known values in mice. Coefficient of variation (CV) is expressed for each of the estimated parameters across all independent estimates
  2. aKey to optimization algorithms: SRES Evolution strategy with Stochastic Ranking, HJ Hooke & Jeeves, PS Particle Swarm, GA Genetic Algorithm, GASR Genetic Algorithm with stochastic ranking