Welcome to Maud’s documentation!¶
Maud is a tool for fitting Bayesian statistical models of metabolic networks.
Maud’s distinguishing features include:
Scientifically accurate representation of phenomena including enzyme kinetics, allosteric regulation, competitive inhibition, phosphorylation, knockouts and transported charges.
Guaranteed consistency with thermodynamic and steady state constraints.
A statistical model allowing inference consistent with both information from experiments and pre-experimental background information.
Prediction of steady state concentrations and fluxes given unseen boundary conditions.
More practically speaking, Maud is a command line application that uses Stan to specify and fit a statistical model and Python to interface between Stan and humans.