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


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
09 Sep 2021
Historique:
received: 08 09 2020
revised: 31 12 2020
accepted: 26 01 2021
medline: 2 2 2021
pubmed: 2 2 2021
entrez: 1 2 2021
Statut: ppublish

Résumé

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. 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. M2R is freely available under an MIT License at https://github.com/e-weglarz-tomczak/m2r. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 33523116
pii: 6125380
doi: 10.1093/bioinformatics/btab060
pmc: PMC8428599
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2785-2786

Subventions

Organisme : Mobilność Plus V from the Polish Ministry of Science and Higher Education
ID : 1639/MOB/V/2017/0

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press.

Auteurs

Ewelina Weglarz-Tomczak (E)

Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands.

Jakub M Tomczak (JM)

Department of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Stanley Brul (S)

Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands.

Classifications MeSH