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

  • Ewelina Weglarz-Tomczak
  • , Jakub M. Tomczak
  • , Stanley Brul

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Samenvatting

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.
Originele taal-2Engels
Artikelnummer17
Pagina's (van-tot)2785-2786
Aantal pagina's2
TijdschriftBioinformatics
Volume37
Nummer van het tijdschrift17
DOI's
StatusGepubliceerd - 9 sep. 2021
Extern gepubliceerdJa

Financiering

E.W.-T. was financed by a grant within Mobilnosc Plus V from the Polish Ministry of Science and Higher Education [1639/MOB/V/2017/0].

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