Abstract: The invention provides in silico models for determining the physiological function of human cells, including human skeletal muscle cells. The models include a data structure relating a plurality of Homo sapiens reactants to a plurality of Homo sapiens reactions, a constraint set for the plurality of Homo sapiens reactions, and commands for determining a distribution of flux through the reactions that is predictive of a Homo sapiens physiological function. A model of the invention can further include a gene database containing information characterizing the associated gene or genes. A regulated Homo sapiens reaction can be represented in a model of the invention by including a variable constraint for the regulated reaction. The invention further provides methods for making an in silico Homo sapiens model and methods for determining a Homo sapiens physiological function using a model of the invention.

Abstract: The invention provides a computer implemented process for constructing a scalable output network model of a bioparticle. The process includes computer implemented steps of: (a) accessing a database of network gene components including an annotated network set of open reading frames (ORFs) of a bioparticle genome; (b) forming a data structure associating the network gene components with network reaction components, the data structure establishing a data set specifying a network model of connectivity and flow of the network reaction components, and (c) transforming the data set into a mathematical description of reactant fluxes defining the network model of connectivity and flow, wherein the mathematical description defines a scalable output network model of a bioparticle.

Abstract: The invention provides an in silico model for determining a Bacillus subtilis physiological function. The model includes a data structure relating a plurality of B. subtilis reactants to a plurality of B. subtilis reactions, a constraint set for the plurality of B. subtilis reactions, and commands for determining a distribution of flux through the reactions that is predictive of a B. subtilis physiological function. A model of the invention can further include a gene database containing information characterizing the associated gene or genes. A regulated B. subtilis reaction can be represented in a model of the invention by including a variable constraint for the regulated reaction. The invention further provides methods for making an in silico B. subtilis model and methods for determining a B. subtilis physiological function using a model of the invention.

Abstract: The invention provides a model of a reaction network integrated with regulatory controls related to the reactions. A method is provided for determining a systemic property of a reaction network using a model of the invention. Also provided is a method for modeling changes that occur in a reaction network at various time points due to regulatory events.