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.

Indices and tables