METHODS AND SYSTEMS FOR CREATING AND USING COMPREHENSIVE AND DATA-DRIVEN SIMULATIONS OF COMPLEX BIOLOGICAL SYSTEMS FOR PHARMACOLOGICAL AND INDUSTRIAL APPLICATIONS

摘要

Presented herein are techniques and methodologies, and corresponding systems, for creating large-scale data-driven models of biological systems and exemplary applications thereof including drug discovery and industrial applications. Exemplary embodiments include creating a core simulation (scaleable to any size from known biological information, collecting quantitative and qualitative experimental data to constrain the simulation, creating a probable reactions database, integrating the core simulation, the database of probable reactions, and static and dynamical time course measurements to generate an ensemble of biological network structures or models that best predict the behavior of the biological system being modeled, and experimentally validating and iteratively refining the model. In exemplary embodiments of the present invention the methods further includes taking conventional small-scale models and extending them to comprehensive large-scale models of biological systems. The methods presented further describe ways to create models of arbitrary size and complexity and various ways to incorporate data to account for missing biological information. In exemplary embodiments the methods of the present invention can be implemented on one or more a digital computers or other data processors.