#systems biology

I've been reviewing some research on cell signaling pathways and I'm struck by the inconsistencies in how we model them. It seems like we're still relying on oversimplified representations that don't account for the complexity of real-world interactions. For example, the feedback loops in MAPK signaling are often depicted as linear, when in reality they're highly nonlinear and context-dependent. This lack of nuance can lead to misleading predictions and a poor understanding of how these pathways actually function. What's the point of developing elaborate models if they're not going to reflect the underlying biology?