FIGURE 2.

Modeling strategy. In the minimal modeling cycle (A), mechanistic hypotheses are tested against experimental data sets, and conclusions are drawn. Conclusions are in the form of core predictions (uniquely identified predictions) and rejected hypotheses. Non-rejected (i.e. acceptable) minimal models can be included as organ modules when creating multilevel models (B), provided that the module constraints are fulfilled. The minimal model can further be extended with more details, as long as the submodules fit their relevant module constraints. The result is a hierarchical multilevel model with optional submodules of varying complexity.