Before revision:  The study of the structure of the FIM which turns out to be block-diagonal reveals hidden parameter dependencies and sensitivities in reaction networks . The proposed method is tested and validated on two biochemical systems, namely: (a) the p53 reaction network where quasi-steady stochastic oscillations of the concentrations are observed and (b) an Epidermal Growth Factor Receptor (EGFR) model which is an example of a high-dimensional stochastic reaction network with more than 200 reactions and a corresponding number of parameters .
After revision:  The study of the structure of the FIM which turns out to be block-diagonal reveals hidden parameter dependencies and sensitivities in reaction networks .