Skip to main content

Table 4 Goodness of fit of the simulations to the real experimental measurements under drug treatments

From: Generalized logical model based on network topology to capture the dynamical trends of cellular signaling pathways

 

Control

EGFR

Control

DNA damage

Control

Both

 

input

inhibitor

input

stimuli

input

drugs

AKT

0.64

0.81

–0.40

–0.54

0.75

0.93

ERK

0.32

0.40

–0.30

–0.39

0.19

0.23

S6

0.53

0.86

0.42

0.57

0.52

0.89

S6K

0.49

0.84

0.35

0.66

0.58

0.96

4EBP1

0.67

0.67

–0.33

-0.33

0.92

0.92

BIM

0.32

0.72

0.35

0.65

–0.15

–0.38

BID

0.30

0.37

0.03

0.03

0.16

0.16

JNK

0.02

–0.07

–0.47

–0.58

–0.06

0.01

p53

–0.04

–0.45

0.21

0.83

0.01

–0.09

CABL

–0.45

–0.52

0.04

0.55

0.21

0.78

CHK

–0.12

–0.18

–0.25

–0.28

–0.30

–0.69

CDC25

0.29

0.23

0.15

0.33

0.18

0.64

Casp8

0.06

–0.06

0.14

0.72

0.26

0.68

SMAC

–0.05

0.08

–0.71

–0.87

0.48

0.99

  1. For example, the second column is the correlation coefficients between the simulations using control input (row 1 in Table 3) and the biological measurements treated with the drug that targets EGFR