Patent Document ID: 20110010150
Application ID: 12918317
Patent Flag: 0

Claim One:
1. A method for developing data-driven dynamic models of biological networks comprising: providing a data structure relating a plurality of biological network reactants to a plurality of biological network reactions, wherein each of the biological network reactions comprises one or more biological network reactants identified as a substrate of the reaction, one or more biological network reactants identified as a product of the biological network reaction and a stoichiometric coefficient relating the substrate and the product; providing a constraint set for a plurality of biological network reactions; providing a constraint set for the plurality of concentrations associated with the plurality of biological network reactions; providing a constraint set for a plurality of kinetic constants associated with the plurality of biological network reactions; providing a constraint set for a plurality of equilibrium constants associated with the plurality of biological network reactions; integrating the sets of constraints, thereby forming the stoichiometric, gradient, and Jacobian matrices; providing an objective function; and predicting a physiological function related to a biological network by determining at least one flux distribution that minimizes or maximizes the objective function when at least one constraint set is applied to the data structure.