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Table 1 The results of optimization for scenario A.

From: Identification of biomolecule mass transport and binding rate parameters in living cells by inverse modeling

 

Initial guesses

Optimized values

      

run

D f (μm2 s-1)

K a * MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGlbWsdaqhaaWcbaGaemyyaegabaGaeiOkaOcaaaaa@301F@ (s-1)

K d (s-1)

D f (μm2 s-1)

K a * MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGlbWsdaqhaaWcbaGaemyyaegabaGaeiOkaOcaaaaa@301F@ (s-1)

K d (s-1)

F eq

C eq

t b (ms)

t d (ms)

RMSE

R 2

1

1.4

0.01

0.24

1.3454

0.0081

0.249

0.9685

0.0315

4016

123450

0.0241

0.9904

2

15

500

86

13.5563

806

83

0.0934

0.9066

12.00

1.2407

0.0233

0.9912

3

10

20

50

1.2689

22.88

538

0.9592

0.0408

1.90

44.00

0.0245

0.9903

4

1.26

3000

5

79.7179

1.06*104

168

0.0156

0.9844

6.00

9.00

0.0236

0.9910

5

12

30

490

1.8558

256

489

0.6564

0.3436

2.00

3.91

0.0244

0.9904

6

1.2

200

49

7.4289

200

42.5

0.1753

0.8247

23.50

5.00

0.0235

0.9911

7

7

2

470

1.2248

4.70

540.72

0.9914

0.0086

1.80

213.00

0.0245

0.993

8

0.7

202

0.047

6.6616

56.362

38.25

0.4043

0.5957

26.10

18.00

0.0235

0.9910

9

1.5

0.001

85

1.2127

7*10-5

91.21

1.000

0.000

11.00

15.00

0.0246

0.9902

10

1.5

0.1

1*10-5

1.2127

0.1874

1*10-5

0.0001

0.9999

200

5336

0.0245

0.9903

11

1.5

1*10-5

1

1.4652

0.1974

2.1902

0.9173

0.0827

456.6

5066

0.0251

0.9900

12

9.2

500

86.4

8.3315

468.56

83.38

0.1511

0.8489

12.00

2.00

0.0234

0.9911

13

25

0.001

100

1.2534

1.3557

44.94

0.9707

0.0293

22.30

738

0.0245

0.9903

14

0.25

0.001

100

1.2236

0.4235

119.71

0.9965

0.0035

8.40

2361

0.0245

0.9903

15

5

400

0.40

10.1911

396.8

56.7

0.1250

0.8750

17.60

2.52

0.0233

0.9911

16

15

4

1400

1.2205

3.81

1389

0.9973

0.0027

7.00

262

0.0245

0.9903

17

4.5

150

385

4.3970

986

380

0.2782

0.7218

2.60

1.00

0.0242

0.9905

18

10

150

385

8.861

2458

396

0.1388

0.8612

2.50

0.40

0.0242

0.9905

19

0.4

0.5

0.003

1.6371

0.5211

3.20

0.86

0.1400

312.50

1919

0.0254

0.9901

20#

-

-

-

9.20

500

86.4

0.1474

0.8526

11.60

2.00

0.0255

0.9886

  1. # These values were obtained by Sprague et al. [14].