M2R: a Python add-on to cobrapy for modifying human genome-scale metabolic reconstruction using the gut microbiota models

Motivation: The gut microbiota is the human body's largest population of microorganisms that interact with human intestinal cells. They use ingested nutrients for fundamental biological processes and have important impacts on human physiology, immunity and metabolome in the gastrointestinal tract. Results: Here, we present M2R, a Python add-on to cobrapy that allows incorporating information about the gut microbiota metabolism models to human genome-scale metabolic models (GEMs) like RECON3D. The idea behind the software is to modify the lower bounds of the exchange reactions in the model using aggregated in- and out-fluxes from selected microbes. M2R enables users to quickly and easily modify the pool of the metabolites that enter and leave the GEM, which is particularly important for those looking into an analysis of the metabolic interaction between the gut microbiota and human cells and its dysregulation.

Automated summary

M2R is a Python add-on that integrates information about gut microbiota metabolism models into human genome-scale metabolic models, facilitating research on the metabolic interaction between gut microbiota and human cells.