1. A computer implemented process for constructing a scalable output metabolic network model of a bioparticle, comprising the computer implemented steps of: (a) accessing a database of network gene components comprising an annotated network set of open reading frames (ORFs) of a bioparticle genome; (b) forming a data structure comprising network gene components of said database and metabolic reactions of said metabolic network model and associating said network gene components with said metabolic reactions, wherein said associations are formed with logic operators indicating linear, non-linear and both linear and non-linear associations between said network gene components and said metabolic reactions, said data structure establishing a data set specifying a metabolic network model of connectivity and flow of said metabolic reactions, (c) executing commands in a suitably programmed computer to transform said data set into a mathematical description of reactant fluxes defining said metabolic network model of connectivity and flow, wherein said metabolic network model of connectivity and flow indicates the quantitative amount of flux through said metabolic reactions under a given set of conditions and wherein said mathematical description defines a scalable output metabolic network model of a bioparticle, and (d) providing an output to a user of said scalable output metabolic network model.