Without the need for kinetic parameters, the discrete modeling approach can model and simulate larger networks, given the abundant qualitative interaction maps of biological systems that are available.
In contrast, we ask whether given the available information which is complex enough to preclude the simple hand-waving type of argumentation, yet too incomplete for a comprehensive model, any formal but minimal modeling approach can offer insights on the collective function of fate determining TFs.
This modeling approach can be used to model any coaxial cable network, so long as the construction and dimension are known.
In addition, this work can serve as a model on how a coupled experimental and modeling approach can be applied to understand the unit mechanisms behind other critical behaviors in reactor materials.
For other shapes of sensing terrain, our modeling approach can be applied with a mathematical modification though the model becomes more complicated.
Our results suggest that this modeling approach can be used with retrospective and projected predictors to model fine scale temperature variation across time in regions of complex terrain.
Here, we provide a demonstration that the rule-based modeling approach can be used to specify and simulate a large model for ERBB receptor signaling that accounts for site-specific details of protein-protein interactions.
Additional details on this modeling approach can be found in an earlier publication [14].
This modeling approach can be applied to other MSR systems provided valid system parameters.
The modeling approach can be extended to other thin-film slurry photocatalytic reactors.
Additionally, although specific platforms have been considered, the modeling approach can be easily applied to other architectures.
