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Week 7


The day was quite productive, nerveless lucky. We manage to find 3 parameters of our interest. Besides that, we came with idea, how to compare qualitatively models F2 and F3 feedback. The method we developed and called ‘Feedback Logics’ allowed us to optimize four unknowns in F3 feedback. Results that came out suggested that addition of feedback loop for F3 will not influence the outcome of Salyclate . Tomorrows meeting will decide, if F3 is wrong or it is the outcome one could expect.
Update:‘Feedback Logics’ layed backgroud for BioBrick type modeling with Simulink.


All tests we were running today points that, we need to adjust our model ‘One Big F’, because model F3 feedback; shows no influence for the final output. Wet lab said that they expect that F3 feedback would change the repose in general. We have few, that still believe in parameter search, but their numbers are dwindling….


With the help of David we managed to find few more constants for our models, he also noted that some minor changes to model will have to be made because last mass action is believed to be unstable and could not be modeled separately.


The Multi-Parametric Sensitivity Analysis program is now (basically) complete. It is a marvel of computing beauty and shows how adaptable and smart graduates of Product Design Engineering are.
Besides that we received green light for multi core modeling. Computer clusters on levels 3 and 4 is in our possession now and as soon as task scheduling is going to be sorter full scale modeling will kick off for massive tasks such as MPSA for a 1’000’000’000 samples??


Scheduling is sorted, MPSA is going to next level, Stochastic modeling are, slowly, but, approaching its goals, Latex documentation is being updated literally every minute with new models, Parameter search are finally getting to give some sense as we adapt our models to real experimental data…. What else can I say? It is going to be a great weekend!


Modelling Log Tutorials References