Milestones in the modeling process

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You and your collaborators have agreed on a model diagram to test

Congratulations! We think joint development of a biological system diagram is one of the most valuable steps you can take to advance a biomedical research project. Indeed, this is why the ProcessDB development team has worked so hard to support collaborative diagram construction and revision - even for collaborators who work far away from one another.

Everyone agrees on the units of time, the units of quantity, and the basis of the model

This is usually not a difficult step, but if you are on the modeling team we recommend you choose units of time that your experimental collaborators use every day in their project discussions and in their data sets.

Controversy: Many investigators trained in the physical sciences insist that state variables must have units of concentration. We think concentration units are fine, but they are not not required and are not always the most convenient. For example, the tracer kinetics modeling community almost always uses mass units or mass units normalized to body weight (umol/kgBW).

What is the "basis" of a model? This is a fairly intuitive concept, but it is often left implicit. Some modelers think of it as normalization. The basis of a molecular cell biology model might be one cell or it might be a million cells. The basis of a model of whole-animal metabolism might be a kg of body weight. The basis you choose is a matter of convenience and personal preference; it scales all your model's states and fluxes so that they can be compared to results in other laboratories. The ProcessDB team likes to use one cell as the basis for models in molecular cell biology. This means that model state variables will have units of molecules per cell or attomoles/cell. You could just as well choose a million cells as your basis, and then your state variables might have units of pmol/million cells. If we are building models of human metabolism we usually choose umol/kgBW as our units for state variables, but the choice is always yours to make! We are simply recommending that you make that choice explicit.

Your model diagram has been converted to differential equations

You're able to graph the features of your model that you care about