Skip to main content
. 2014 Jun 25;8:75. doi: 10.1186/1752-0509-8-75

Table 1.

Attractor states of short-term perturbation simulations

 
BT474
    HCC1954
    SKBR3
   
Simulation
AKT
ERK1/2
p70S6K
AKT
ERK1/2
p70S6K
AKT
ERK1/2
p70S6K
  A E A E A E A E A E A E A E A E A E
X
1
1
1
1
1
1
1
1
1
E
0
1
1
0
1
0
1
0
1
0
1
0
0
1
P
1
1
1
0
1
0
1
0
1
0
1
0
1
0
1
T
1
1
1
1
1
1
1
1
1
E, P
1
1
0
1
0
1
0
0
1
0
0
0
0
1
E, T
0
1
1
0
1
1
0
1
1
0
1
0
0
1
P, T
1
1
1
0
1
0
0
1
0
0
0
1
E, P, T 1 1 0 1 0 1 0 0 1 0 0 0

The therapeutics erlotinib, trastuzumab and pertuzumab, abbreviated by first letters, that were permanently active besides EGF and HRG in the simulated perturbation conditions are stored in the column Simulation. No simulated drug treatment is denoted by ‘X’. The A columns hold the attractor states of the proteins AKT, ERK1/2 and p70S6K, associated with the perturbations. The E columns contain the protein activity status, statistically deduced from the experimental data. In case of a significant (p-value < 0.05) combined influence of both, drug treatment and time, on the protein signal intensity, a Wilcoxon rank sum test was conducted for the measurements at time point 60 minutes. The drug treatments leading to significantly (p-value < 0.05) smaller intensity values compared to the control measurement ‘X’ were considered as efficient inhibitors, resulting in a table entry of zero. Consistency between simulations and experimental observations is printed in bold.