Difference between revisions of "Optimization examples"

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           <td>r1</td>
 
           <td>r1</td>
 
           <td>CD95L + FADD:CD95R → DISC</td>
 
           <td>CD95L + FADD:CD95R → DISC</td>
           <td>''k''<sub>1</sub> ⋅ [''CD95L''] ⋅ ''C<sub>CD95R:FADD</sub>''</td>
+
           <td>''k''<sub>1</sub> ⋅ [''CD95L''] ⋅ [''CD95R'':''FADD'']</td>
 
         </tr>
 
         </tr>
 
         <tr>
 
         <tr>

Revision as of 16:40, 14 March 2019

Here we give some examples of BioUML using for solving the problem of parameter estimation applied to the models of biochemical pathways. For details about creation your oun optimization document in BioUML, see the chapter Optimization document. Some information about the optimization methods implemented in BioUML is done in the chapter Optimization problem.

To analyze convergence rate of the implemented methods, we considered a reaction chain extracted from the model by Neumann et al. [1] and representing activation of caspase-8 triggered by the receptor CD95 (APO-1/Fas).

The test model of caspase-8 activation
    
ID Reactions Reaction rates
r1 CD95L + FADD:CD95R → DISC k1 ⋅ [CD95L] ⋅ [CD95R:FADD]
r2 -p53 → pMdm2 x
r3 pMdm2 → Mdm2 α0 · y0
r4 p53 -Mdm2 → αxy · x · y
r5 Mdm2 → αy · y

References

  1. Neumann L., Pforr C., Beaudouin J., Pappa A., Fricker N., Krammer P.H., Lavrik I.N., Eils R. Dynamics within the CD95 death-inducing signaling complex decide life and death of cells. Molecular Systems Biology. 2010. 6:352.
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