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Adding all files needed to plot the figures in the paper.
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*.asv | ||
*mex* | ||
*.h | ||
*.c | ||
~$*.xls* | ||
**/Results* | ||
Ignore/* | ||
Log/* | ||
*.out | ||
*.mat | ||
**/tmpfig/* | ||
**/.vscode | ||
*.png | ||
*.zip | ||
costs.txt | ||
FinalExpandedModel.txt | ||
inhibitions.xlsx | ||
testedInteractions.xlsx |
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function [ data ] = GetPhosphoproteomeData() | ||
load('Humphrey_2013.mat', 'matchedData') | ||
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usefulColumns=[1 3 4 5 8 10 11 50:52 33 20:22]; | ||
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LY=matchedData(:,25); | ||
MK=matchedData(:,30); | ||
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LY.LYDirection = sign(matchedData.LYExpsInsulinStarvedMedianlog2); | ||
MK.MKDirection = sign(matchedData.MKExpsInsulinStarvedMedianlog2); | ||
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LY{:,1}=2.^LY{:,1}; | ||
MK{:,1}=2.^MK{:,1}; | ||
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matchedData=[matchedData(:,usefulColumns) LY MK]; | ||
matchedData.LYMean=nanmean(LY{:,1},2); | ||
matchedData.LYSEM=nanSEM(LY{:,1},2); | ||
matchedData.MKMean=nanmean(MK{:,1},2); | ||
matchedData.MKSEM=nanSEM(MK{:,1},2); | ||
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matchedData.meanValues=[ones(size(matchedData,1),1) matchedData.meanValues]; | ||
matchedData.SEMValues=[zeros(size(matchedData,1),1) matchedData.SEMValues]; | ||
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matchedData = sortrows(matchedData,'IPI368PositioninProtein','ascend'); | ||
matchedData = sortrows(matchedData,'Genenamesprimary','ascend'); | ||
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matchedData.SEMValues(matchedData.SEMValues<1e-10)=inf; | ||
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data=matchedData; | ||
data(~any(~isnan(data.meanValues(:,2:end)),2),:)=[]; %Remove data with only nans | ||
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end |
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********** MODEL NAME | ||
Multi_Combined | ||
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********** MODEL NOTES | ||
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********** MODEL STATES | ||
d/dt(C)=v_C__C_p | ||
d/dt(C_p)=-v_C__C_p | ||
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C(0)=50 | ||
C_p(0)=50 | ||
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********** MODEL PARAMETERS | ||
A_px1=1 | ||
A_px2=1 | ||
A_px3=1 | ||
A_px4=1 | ||
A_px5=1 | ||
A_px6=1 | ||
A_px7=1 | ||
A_px8=1 | ||
A_px9=1 | ||
A_py1=1 | ||
A_py2=1 | ||
A_py3=1 | ||
A_py4=1 | ||
A_py5=1 | ||
A_py6=1 | ||
A_py7=1 | ||
A_py8=1 | ||
A_py9=1 | ||
B_px1=1 | ||
B_px2=1 | ||
B_px3=1 | ||
B_px4=1 | ||
B_px5=1 | ||
B_px6=1 | ||
B_px7=1 | ||
B_px8=1 | ||
B_px9=1 | ||
B_py1=1 | ||
B_py2=1 | ||
B_py3=1 | ||
B_py4=1 | ||
B_py5=1 | ||
B_py6=1 | ||
B_py7=1 | ||
B_py8=1 | ||
B_py9=1 | ||
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useInterp=1 | ||
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k_C_C_p=1 | ||
k_C_C_p_1=1 | ||
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********** MODEL VARIABLES | ||
A_p=(1-useInterp)+useInterp*interpcsIQM([A_px1, A_px2, A_px3, A_px4, A_px5, A_px6, A_px7, A_px8, A_px9], [A_py1, A_py2, A_py3, A_py4, A_py5, A_py6, A_py7, A_py8, A_py9], time) | ||
B_p=(1-useInterp)+useInterp*interpcsIQM([B_px1, B_px2, B_px3, B_px4, B_px5, B_px6, B_px7, B_px8, B_px9], [B_py1, B_py2, B_py3, B_py4, B_py5, B_py6, B_py7, B_py8, B_py9], time) | ||
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********** MODEL REACTIONS | ||
v_C__C_p=-C*A_p*k_C_C_p + C_p*B_p*k_C_C_p_1 | ||
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********** MODEL FUNCTIONS | ||
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********** MODEL EVENTS | ||
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********** MODEL MATLAB FUNCTIONS | ||
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********** MODEL NAME | ||
Multi_Dephos | ||
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********** MODEL NOTES | ||
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********** MODEL STATES | ||
d/dt(C)=v_C__C_p | ||
d/dt(C_p)=-v_C__C_p | ||
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C(0)=50 | ||
C_p(0)=50 | ||
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********** MODEL PARAMETERS | ||
A_px1=1 | ||
A_px2=1 | ||
A_px3=1 | ||
A_px4=1 | ||
A_px5=1 | ||
A_px6=1 | ||
A_px7=1 | ||
A_px8=1 | ||
A_px9=1 | ||
A_py1=1 | ||
A_py2=1 | ||
A_py3=1 | ||
A_py4=1 | ||
A_py5=1 | ||
A_py6=1 | ||
A_py7=1 | ||
A_py8=1 | ||
A_py9=1 | ||
B_px1=1 | ||
B_px2=1 | ||
B_px3=1 | ||
B_px4=1 | ||
B_px5=1 | ||
B_px6=1 | ||
B_px7=1 | ||
B_px8=1 | ||
B_px9=1 | ||
B_py1=1 | ||
B_py2=1 | ||
B_py3=1 | ||
B_py4=1 | ||
B_py5=1 | ||
B_py6=1 | ||
B_py7=1 | ||
B_py8=1 | ||
B_py9=1 | ||
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useInterp=1 | ||
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k_C_C_p_f=1 | ||
k_C_C_p_b=1 | ||
k_C_C_p=1 | ||
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********** MODEL VARIABLES | ||
A_p=(1-useInterp)+useInterp*interpcsIQM([A_px1, A_px2, A_px3, A_px4, A_px5, A_px6, A_px7, A_px8, A_px9], [A_py1, A_py2, A_py3, A_py4, A_py5, A_py6, A_py7, A_py8, A_py9], time) | ||
B_p=(1-useInterp)+useInterp*interpcsIQM([B_px1, B_px2, B_px3, B_px4, B_px5, B_px6, B_px7, B_px8, B_px9], [B_py1, B_py2, B_py3, B_py4, B_py5, B_py6, B_py7, B_py8, B_py9], time) | ||
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********** MODEL REACTIONS | ||
v_C__C_p=-C*k_C_C_p_f + C_p*A_p*k_C_C_p_b + C_p*B_p*k_C_C_p | ||
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********** MODEL FUNCTIONS | ||
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********** MODEL EVENTS | ||
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********** MODEL MATLAB FUNCTIONS | ||
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********** MODEL NAME | ||
Multi_Phos | ||
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********** MODEL NOTES | ||
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********** MODEL STATES | ||
d/dt(C)=v_C__C_p | ||
d/dt(C_p)=-v_C__C_p | ||
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C(0)=50 | ||
C_p(0)=50 | ||
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********** MODEL PARAMETERS | ||
A_px1=1 | ||
A_px2=1 | ||
A_px3=1 | ||
A_px4=1 | ||
A_px5=1 | ||
A_px6=1 | ||
A_px7=1 | ||
A_px8=1 | ||
A_px9=1 | ||
A_py1=1 | ||
A_py2=1 | ||
A_py3=1 | ||
A_py4=1 | ||
A_py5=1 | ||
A_py6=1 | ||
A_py7=1 | ||
A_py8=1 | ||
A_py9=1 | ||
B_px1=1 | ||
B_px2=1 | ||
B_px3=1 | ||
B_px4=1 | ||
B_px5=1 | ||
B_px6=1 | ||
B_px7=1 | ||
B_px8=1 | ||
B_px9=1 | ||
B_py1=1 | ||
B_py2=1 | ||
B_py3=1 | ||
B_py4=1 | ||
B_py5=1 | ||
B_py6=1 | ||
B_py7=1 | ||
B_py8=1 | ||
B_py9=1 | ||
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useInterp=1 | ||
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k_C_C_p_f=1 | ||
k_C_C_p_b=1 | ||
k_C_C_p=1 | ||
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********** MODEL VARIABLES | ||
A_p=(1-useInterp)+useInterp*interpcsIQM([A_px1, A_px2, A_px3, A_px4, A_px5, A_px6, A_px7, A_px8, A_px9], [A_py1, A_py2, A_py3, A_py4, A_py5, A_py6, A_py7, A_py8, A_py9], time) | ||
B_p=(1-useInterp)+useInterp*interpcsIQM([B_px1, B_px2, B_px3, B_px4, B_px5, B_px6, B_px7, B_px8, B_px9], [B_py1, B_py2, B_py3, B_py4, B_py5, B_py6, B_py7, B_py8, B_py9], time) | ||
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********** MODEL REACTIONS | ||
v_C__C_p=-C*A_p*k_C_C_p_f + C_p*k_C_C_p_b + -C*B_p*k_C_C_p | ||
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********** MODEL FUNCTIONS | ||
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********** MODEL EVENTS | ||
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********** MODEL MATLAB FUNCTIONS | ||
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********** MODEL NAME | ||
dephos_model | ||
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********** MODEL NOTES | ||
model | ||
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********** MODEL STATES | ||
d/dt(B)=-v1 | ||
d/dt(Bp)=v1 | ||
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B(0)=50 | ||
Bp(0)=50 | ||
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********** MODEL PARAMETERS | ||
x1=1 | ||
x2=1 | ||
x3=1 | ||
x4=1 | ||
x5=1 | ||
x6=1 | ||
x7=1 | ||
x8=1 | ||
x9=1 | ||
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y1=1 | ||
y2=1 | ||
y3=1 | ||
y4=1 | ||
y5=1 | ||
y6=1 | ||
y7=1 | ||
y8=1 | ||
y9=1 | ||
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useInterp=1 | ||
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kp=1 | ||
kd=1 | ||
********** MODEL VARIABLES | ||
va=(1-useInterp)+useInterp*interpcsIQM([x1, x2, x3, x4, x5, x6, x7, x8, x9],[y1, y2, y3, y4, y5, y6, y7, y8, y9], time) | ||
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********** MODEL REACTIONS | ||
v1=kp*B-va*kd*Bp | ||
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********** MODEL FUNCTIONS | ||
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********** MODEL EVENTS | ||
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********** MODEL MATLAB FUNCTIONS | ||
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********** MODEL NAME | ||
mm_model | ||
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********** MODEL NOTES | ||
model | ||
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********** MODEL STATES | ||
d/dt(B)=-v1 | ||
d/dt(Bp)=v1 | ||
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B(0)=50 | ||
Bp(0)=50 | ||
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********** MODEL PARAMETERS | ||
x1=1 | ||
x2=1 | ||
x3=1 | ||
x4=1 | ||
x5=1 | ||
x6=1 | ||
x7=1 | ||
x8=1 | ||
x9=1 | ||
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y1=1 | ||
y2=1 | ||
y3=1 | ||
y4=1 | ||
y5=1 | ||
y6=1 | ||
y7=1 | ||
y8=1 | ||
y9=1 | ||
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useInterp=1 | ||
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kp=1 | ||
kd=1 | ||
km=1 | ||
********** MODEL VARIABLES | ||
va=(1-useInterp)+useInterp*interpcsIQM([x1, x2, x3, x4, x5, x6, x7, x8, x9],[y1, y2, y3, y4, y5, y6, y7, y8, y9], time) | ||
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********** MODEL REACTIONS | ||
v1=va/(km+va)*kp*B-kd*Bp | ||
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********** MODEL FUNCTIONS | ||
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********** MODEL EVENTS | ||
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********** MODEL MATLAB FUNCTIONS | ||
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