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Table 1 Results of parameter enrichment test for the NFBLB model

From: Understanding system dynamics of an adaptive enzyme network from globally profiled kinetic parameters

Parameter

1stclass

2ndclass

3rdclass

4thclass

5thclass

 

[10-3, 10-2]a

[10-2, 10-1]

[10-1, 100]

[100, 101]

[101,102]

 

x b

y c

p d

x

y

p d

x

y

p d

x

y

p d

x

y

p d

k AB

      

32

49,999

8.5E-01

42

50,001

1.0E-01

   

k AC

      

32

50,000

8.5E-01

42

50,000

1.0E-01

   

k BA

      

24

50,000

1.0E + 00

50

50,000

7.6E-04

   

k FBB

      

73

50,000

<2.2E-16

1

50,000

1.0E + 00

   

k FCC

      

35

50,000

6.4E-01

39

50,000

2.8E-01

   

K AB

44

19,998

9.4E-11

25

19,999

1.7E-03

4

20,000

1.0E + 00

1

20,000

1.0E + 00

0

20,000

1.0E + 00

K AC

26

20,000

7.4E-04

17

19,999

2.1E-01

17

20,000

2.1E-01

6

20,000

1.0E + 00

8

20,000

9.7E-01

K BA

33

19,994

4.3E-07

28

20,000

1.1E-04

11

20,000

8.3E-01

2

20,000

1.0E + 00

0

20,000

1.0E + 00

K FBB

57

19,997

<2.2E-16

17

19,999

2.1E-01

0

19,999

1.0E + 00

0

20,000

1.0E + 00

0

20,000

1.0E + 00

K FCC

9

19,999

9.4E-01

23

19,999

8.0E-03

32

20,000

1.5E-06

9

20,000

9.4E-01

1

20,000

1.0E + 00

  1. aIn square brackets are the intervals of parameter values for the indicated class.
  2. bOut of M (=74) kinetic solutions, x is the number of solutions with the value of the indicated parameter belonging to the indicated value class.
  3. cOut of a total of N (=105) parameter sets sampled, y is the number of sets with the value of the indicated parameter belonging to the indicated value class.
  4. dAn enrichment test is considered statistically significant if its p-value < 10-3 and is highlighted in boldface. Based on p-values (using 10-3 as threshold), an enrichment state, i.e. motif, was assigned.