Enhancing Microbiome Research through Genome-Scale Metabolic Modeling

Enhancing Microbiome Research through Genome-Scale Metabolic Modeling

Construction and analysis of genome-scale metabolic models (GEMs) is a well-established systems biology approach that can be used to predict metabolic and growth phenotypes. The ability of GEMs to produce mechanistic insight into microbial ecological processes makes them appealing tools that can ope...

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Bibliographic Details
Main Authors: Ankrah, N.Y.D (Author), Bernstein, D.B (Author), Biggs, M. (Author), Carey, M. (Author), Engevik, M. (Author), García-Jiménez, B. (Author), Lakshmanan, M. (Author), Medlock, G.L (Author), Pacheco, A.R (Author), Sulheim, S. (Author)
Format: Article
Language:English
Published: American Society for Microbiology 2021
Subjects:
article
Metabolic modeling
Metabolism
microbiome
Microbiome
nonhuman
Online Access:View Fulltext in Publisher
Description
Summary:Construction and analysis of genome-scale metabolic models (GEMs) is a well-established systems biology approach that can be used to predict metabolic and growth phenotypes. The ability of GEMs to produce mechanistic insight into microbial ecological processes makes them appealing tools that can open a range of exciting opportunities in microbiome research. Here, we briefly outline these opportunities, present current rate-limiting challenges for the trustworthy application of GEMs to microbiome research, and suggest approaches for moving the field forward. © 2021 Ankrah et al.
ISBN:23795077 (ISSN)
DOI:10.1128/mSystems.00599-21

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