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 integrat...

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Autores principales:	Caleb M. Schmidt, Parsa Ghadermazi, Siu Hung Joshua Chan
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2021
Materias:	Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/4011ab55d93c46dcac34e5e89e72e924
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spelling	oai:doaj.org-article:4011ab55d93c46dcac34e5e89e72e9242021-12-02T19:44:32ZPredicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles2379-507710.1128/mSystems.00768-21https://doaj.org/article/4011ab55d93c46dcac34e5e89e72e9242021-10-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00768-21https://doaj.org/toc/2379-5077 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.Caleb M. SchmidtParsa GhadermaziSiu Hung Joshua ChanAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmSystems, Vol 6, Iss 5 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbiology QR1-502
spellingShingle	Microbiology QR1-502 Caleb M. Schmidt Parsa Ghadermazi Siu Hung Joshua Chan Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles
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.
format	article
author	Caleb M. Schmidt Parsa Ghadermazi Siu Hung Joshua Chan
author_facet	Caleb M. Schmidt Parsa Ghadermazi Siu Hung Joshua Chan
author_sort	Caleb M. Schmidt
title	Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles
title_short	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_sort	predicting microbiome metabolism and interactions through integrating multidisciplinary principles
publisher	American Society for Microbiology
publishDate	2021
url	https://doaj.org/article/4011ab55d93c46dcac34e5e89e72e924
work_keys_str_mv	AT calebmschmidt predictingmicrobiomemetabolismandinteractionsthroughintegratingmultidisciplinaryprinciples AT parsaghadermazi predictingmicrobiomemetabolismandinteractionsthroughintegratingmultidisciplinaryprinciples AT siuhungjoshuachan predictingmicrobiomemetabolismandinteractionsthroughintegratingmultidisciplinaryprinciples
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Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles

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