This is a physics-based model of central metabolism of Neurospora crassa, a filamentous fungi, in which physiologically reasonable rate constants are inferred from data and physical principles. The model addresses mass action dynamics, regulation of metabolism, reaction free free energies, and the power generated at each reaction. It lays the conceptual groundwork for developing more extensive models ("genome scale" models) that use full mass action dynamics and thermodynamics.
The model incorporates experimental data into the inference and results in rate constants that are consistent with experimentally measured metabolite concentrations.
This tool can be used with the eQuilibrator api (https://gitlab.com/equilibrator/equilibrator-api) or data from the web interface (http://equilibrator.weizmann.ac.il/).
Cannon, W.R., et al., Prediction of metabolite concentrations, rate constants and post-translational regulation using maximum entropy-based simulations with application to central metabolism of Neurospora crassa. Processes, 2018. 6(6).