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Table 1 Sensitivity analysis for Model 1 using correlation coefficients

From: In silico modeling of phosphorylation dependent and independent c-Myc degradation

parameters γ
CC RCC PRCC
k1 0.161503056 0.155807599 0.481319239
k2 −0.076018863 − 0.07305514 − 0.248938557
k3 0.189660662 0.181862168 0.548371231
k4 −0.129866911 −0.123888937 − 0.403739973
k5 0.477854476 0.459893896 0.856963902
k6 −0.368324896 −0.354892601 − 0.784260863
k7 −0.204679 − 0.185476 −0.569011
k8 0.156995886 0.148882992 0.481067591
k9 −0.149000813 −0.139899758 − 0.457470695
k10 −0.040970907 − 0.038100336 −0.135971243
k11 −0.462208893 −0.445186864 − 0.848960776
erk 0.188653092 0.181323598 0.55057346
gsk 0.478361213 0.461501541 0.858249977
gf 0.150019829 0.143802131 0.48050302
  1. In the phosphorylation dependent Model 1, the correlation coefficients of γ with all parameters in the model. The table shows all three correlations, CC- Pearson’s correlation coefficient, RCC- Spearman’s rank correlation coefficient and PRCC- partial rank correlation coefficient. k5 and gsk have significant positive correlation with γ, whereas k6 and k11 have significant negative correlation with γ