Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles

In this Commentary, we will discuss some of the current trends and challenges in modeling microbiome metabolism. A focus will be the state of the art in the integration of metabolic networks, ecological and evolutionary principles, and spatiotemporal considerations, followed by envisioning integrate...

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Detalles Bibliográficos
Autores principales: Schmidt, Caleb M., Ghadermazi, Parsa, Chan, Siu Hung Joshua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547421/
https://www.ncbi.nlm.nih.gov/pubmed/34609169
http://dx.doi.org/10.1128/mSystems.00768-21
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author Schmidt, Caleb M.
Ghadermazi, Parsa
Chan, Siu Hung Joshua
author_facet Schmidt, Caleb M.
Ghadermazi, Parsa
Chan, Siu Hung Joshua
author_sort Schmidt, Caleb M.
collection PubMed
description In this Commentary, we will discuss some of the current trends and challenges in modeling microbiome metabolism. A focus will be the state of the art in the integration of metabolic networks, ecological and evolutionary principles, and spatiotemporal considerations, followed by envisioning integrated frameworks incorporating different principles and data to generate predictive models in the future.
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spelling pubmed-85474212021-10-27 Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles Schmidt, Caleb M. Ghadermazi, Parsa Chan, Siu Hung Joshua mSystems Commentary In this Commentary, we will discuss some of the current trends and challenges in modeling microbiome metabolism. A focus will be the state of the art in the integration of metabolic networks, ecological and evolutionary principles, and spatiotemporal considerations, followed by envisioning integrated frameworks incorporating different principles and data to generate predictive models in the future. American Society for Microbiology 2021-10-05 /pmc/articles/PMC8547421/ /pubmed/34609169 http://dx.doi.org/10.1128/mSystems.00768-21 Text en Copyright © 2021 Schmidt et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Commentary
Schmidt, Caleb M.
Ghadermazi, Parsa
Chan, Siu Hung Joshua
Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles
title Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles
title_full Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles
title_fullStr Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles
title_full_unstemmed Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles
title_short Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles
title_sort predicting microbiome metabolism and interactions through integrating multidisciplinary principles
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547421/
https://www.ncbi.nlm.nih.gov/pubmed/34609169
http://dx.doi.org/10.1128/mSystems.00768-21
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