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. Author manuscript; available in PMC: 2016 Dec 14.
Published in final edited form as: Methods Mol Biol. 2011;734:173–200. doi: 10.1007/978-1-61779-086-7_9

Table 4.

Logarithmic gains of the independent variables with respect to metabolites concentration and with respect to fluxes of the model in Fig. 3. The metabolite most influenced by changes in the independent variables is l-Dopamine (l-DOPA)-int. The influence of the fluxes on metabolite concentrations shows that almost all the magnitudes are less than 1

Metabolite concentration
Flux of metabolite
Equation Variable Kinetic order X 1 X 2 X 3 X 4 V(X1) V(X2) V(X3) V(X4)
IPC PhytoCera g(1,5) 0.35 0.35
PIb g(1,6) 0.79 0.79
Ipc1c g(1,7) 3.56 3.56
IPCd h(1,1)

DAG PhytoCer g(2,5) 0.35 −0.94 0.35
PI g(2,6) 0.79 −2.14 0.79
Ipc1 g(2,7) 3.56 −9.58 3.56
DAGe h(2,2) −3.64 9.80

l-DOPA int l-DOPA-extf g(3,9) 11.56 4.29 4.29 4.29
Transport g(3,10) 3.38 1.25 1.25 1.25
DAG h(3,2) −9.80 −3.64 −3.64
l-DOPA-intg h(3,3)
Pkc1h h(3,8) −10.73 −3.98 −3.98
Laccase h(3,11) −19.71 −7.31 −7.31

Melanin DAG g(4,2) 3.64 3.64
l-DOPA-int g(4,3)
Pkc1 g(4,8) 3.98 3.98
Laccase g(4,11) 7.31 7.31
Melanin h(4,4)
a

Phytoceramide

b

Phosphatidylinositol

c

Inositol phosphoryl ceramide synthase 1

d

Inositol phosphoryl ceramide

e

Diacylglycerol

f

l-Dopamine extracellular

g

l-Dopamine intracellular

h

Protein kinase C 1