Challenges in modeling the human gut microbiome

Parizad Babaei; Saeed Shoaie; Boyang Ji; Jens Nielsen

doi:10.1038/nbt.4213

Challenges in modeling the human gut microbiome

Parizad Babaei
, Saeed Shoaie
, Boyang Ji
, Jens Nielsen

Technical University of Denmark
Chalmers University of Technology
King's College London

Research output: Contribution to journal › Comment/debate › Research › peer-review

Abstract

A paper by Magnúsdóttir et al.1 in a previous issue describes the generation of genome-scale metabolic models (GEMs) for 773 members of the human gut microbiota, referred to as AGORA. It represents a valuable contribution to quantitative analyses of how the many different species of gut microbiota interact and influence host metabolism. At the same time, a detailed analysis of the models described in this work raises several questions.

Original language	English
Journal	Nature Biotechnology
Volume	36
Issue number	8
Pages (from-to)	682-686
ISSN	1087-0156
DOIs	https://doi.org/10.1038/nbt.4213
Publication status	Published - 2018

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title = "Challenges in modeling the human gut microbiome",

abstract = "A paper by Magn{\'u}sd{\'o}ttir et al.1 in a previous issue describes the generation of genome-scale metabolic models (GEMs) for 773 members of the human gut microbiota, referred to as AGORA. It represents a valuable contribution to quantitative analyses of how the many different species of gut microbiota interact and influence host metabolism. At the same time, a detailed analysis of the models described in this work raises several questions.",

author = "Parizad Babaei and Saeed Shoaie and Boyang Ji and Jens Nielsen",

year = "2018",

doi = "10.1038/nbt.4213",

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AU - Babaei, Parizad

AU - Shoaie, Saeed

AU - Ji, Boyang

AU - Nielsen, Jens

PY - 2018

Y1 - 2018

N2 - A paper by Magnúsdóttir et al.1 in a previous issue describes the generation of genome-scale metabolic models (GEMs) for 773 members of the human gut microbiota, referred to as AGORA. It represents a valuable contribution to quantitative analyses of how the many different species of gut microbiota interact and influence host metabolism. At the same time, a detailed analysis of the models described in this work raises several questions.

AB - A paper by Magnúsdóttir et al.1 in a previous issue describes the generation of genome-scale metabolic models (GEMs) for 773 members of the human gut microbiota, referred to as AGORA. It represents a valuable contribution to quantitative analyses of how the many different species of gut microbiota interact and influence host metabolism. At the same time, a detailed analysis of the models described in this work raises several questions.

U2 - 10.1038/nbt.4213

DO - 10.1038/nbt.4213

M3 - Comment/debate

C2 - 30080831

SN - 1087-0156

VL - 36

SP - 682

EP - 686

JO - Nature Biotechnology

JF - Nature Biotechnology

IS - 8

ER -

Challenges in modeling the human gut microbiome

Abstract

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