Cool! There’s probably a small factor differentiating the two, but it’s not that noticeable.

I did a research project looking at (iirc) kinase cascades, in which we were using a molecule-by-molecule simulation to look at cascading signals in hypothetical signaling networks, and varied the levels of phosphorylation required for activation required at each tier, and showed how the different topologies/rules governed the relationship between input and output signals, and their relationship to noise tolerance (since chemical networks can be quite noisy). It was very abstract in that we weren’t reconstructing known networks, but rather using sandbox physics to explore the idea.