Abstract: Provided are methods and devices for modeling biochemical reaction networks. A look up matrix is generated with a number of concentrations for each of the input molecules of the reaction network, coupled with calculated concentrations of the output molecules. Such a look up matrix, by itself or with further fitting, can then be used to predict the output of the reaction network for a given set of input molecule concentrations and can be used to determine the reaction time required for a reaction to reach equilibrium. Additionally, disease states and effects of pharmacological agents can be mathematically analyzed on the basis of comparing the relevant system matrices.

Abstract: Provided are methods and devices for modeling biochemical reaction networks. A look up matrix is generated with a number of concentrations for each of the input molecules of the reaction network, coupled with calculated concentrations of the output molecules. Such a look up matrix, by itself or with further fitting, can then be used to predict the output of the reaction network for a given set of input molecule concentrations and can be used to determine the reaction time required for a reaction to reach equilibrium. Additionally, disease states and effects of pharmacological agents can be mathematically analyzed on the basis of comparing the relevant system matrices.