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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
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BMC Bioinformatics

ISSN: 1471-2105

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