We first used Partial Least Squares Regression (PLSR) to test if the simulation data generated using our basic network N1 were reliable for performing the prediction of network rewiring. PLSR is used for mapping independent variable with dependent variables (e.g. mapping signalling molecules to phenotypic responses) [30]. In a PLSR plot, if a predictor variable is closely associated with the predicted variable, then such a predictor variable influences the predicted variable relatively more strongly than the predictor variable who is far away in the PLSR plot. For reaction parameters, we ensured that the selected parameter values enabled us to associate the important predictor variables like Caspases, XIAP, SMAC etc. closely with the apoptosis. The Partial least Square Regression (PLSR) plot for the simulation data from the basic network from N1, is given in Figure 2, which PLSR plot shows the close association between apoptosis and several apoptotic proteins. This result is consistent with the results reported by Lee et al. [5].