Step 6

Test Your Hypothesis Against Your Data

After completing Step 5, Creating a Model of Experiments, or MOE, you are ready for your final step of comparing your experimental data to the quantitative model you have built, which is a mathematical representation of your scientific hypothesis. This step entails solving your model equations for each of your experimental protocols and searching for parameters that can account for your experimental data. ProcessDB has its own solver, a very fast implementation of CVODE, that can be accessed directly from the MOE context menu, which appears when you right click the MOE. If you prefer you can export your model to the Berkeley-Madonna solver by choosing Export to Solver from that same MOE context menu.. In order to work with Berkeley-Madonna you will have to install it on your computer. ProcessDB also can export your model in SBML however not all features of ProcessDB are currently supported by SBML nor are all SBML features supported by ProcessDB.

When you click Solve in the MOE context menu, you are presented with a dialog box asking you to select a parameter set. If this is the first time you've solved this MOE, there will only be one parameter set (the default) to select.

Select a parameter set and click OK.

A new window will open. Its title bar will say Parameter Explorer and will specify the ID of the MOE you are solving.

The equations will solve immediately using the selected parameter set.

If this is your first solution, a single default graph plotting a few of your model variables will be displayed. You can create as many graphs as you wish and all of these graphs will be retained for the next time you solve this Model of Experiments.

The Parameter Explorer window gives you access to and control over three groups of capabilities. These groups are assembled in the menu bar. From left to right they are:

Graphs Optimizer Parameters