One of the main goals of computational biology is to develop realistic models of cells, such that their behaviour can be studied in silico (i.e. in a computer simulation) and conclusions can be drawn on the actual biological phenomena we are considering. A perturbation, in this work, is defined as a change in the external environment or in the inner mechanisms of the cell. In order to produce actionable simulations it's imperative that the response of a model to a perturbation is as close as possible to what happens in reality. The aim of this work is to establish a metric of evaluation of different models, able to discern which among them behaves most similarly to experimental results.