Before revision:  We suggest to analyze concentration changes as input-dependent response functions and separately calculate delays until steady states are reached. This allows to generate pre-computed matrices as transfer functions for any range of inputs ('protein signaling functions' (psfs)). They can be used to perform discrete dynamical simulations, but most importantly, these matrices offer an unprecedented range of possibilities to analyze seemingly complex systems in a simple manner. We show for instance how we can predict active vs. inactive signal transmission links, so that we know which units in the network will respond to input. The results correspond closely with biological knowledge .
After revision:  We suggest to analyze concentration changes as input-dependent signal transmission inactivation .