Weglarz-Tomczak Ewelina, Tomczak Jakub M, Brul Stanley
Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands.
Department of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Bioinformatics. 2021 Sep 9;37(17):2785-2786. doi: 10.1093/bioinformatics/btab060.
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.
肠道微生物群是人体中与人类肠道细胞相互作用的最大微生物群体。它们利用摄入的营养物质进行基本的生物学过程,并对胃肠道中的人体生理、免疫和代谢组产生重要影响。
在此,我们展示了M2R,这是一种用于cobrapy的Python插件,它允许将肠道微生物群代谢模型的信息整合到像RECON3D这样的人类基因组规模代谢模型(GEMs)中。该软件背后的理念是使用来自选定微生物的汇总流入和流出通量来修改模型中交换反应的下限。M2R使用户能够快速轻松地修改进出GEM的代谢物库,这对于那些研究肠道微生物群与人类细胞之间的代谢相互作用及其失调分析的人来说尤为重要。
M2R根据麻省理工学院许可在https://github.com/e-weglarz-tomczak/m2r上免费提供。
补充数据可在《生物信息学》在线获取。