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