Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions

The rat is a widely-used model for human biology, but we must be aware of metabolic differences. Here, the authors reconstruct the genome-scale metabolic network of the rat, and after reconciling it with an improved human metabolic model, demonstrate the power of the models to integrate toxicogenomi...

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Autores principales:	Edik M. Blais, Kristopher D. Rawls, Bonnie V. Dougherty, Zhuo I. Li, Glynis L. Kolling, Ping Ye, Anders Wallqvist, Jason A. Papin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9312236e6c4d45bfabd7e89d7160bf95
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spelling	oai:doaj.org-article:9312236e6c4d45bfabd7e89d7160bf952021-12-02T14:41:18ZReconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions10.1038/ncomms142502041-1723https://doaj.org/article/9312236e6c4d45bfabd7e89d7160bf952017-02-01T00:00:00Zhttps://doi.org/10.1038/ncomms14250https://doaj.org/toc/2041-1723The rat is a widely-used model for human biology, but we must be aware of metabolic differences. Here, the authors reconstruct the genome-scale metabolic network of the rat, and after reconciling it with an improved human metabolic model, demonstrate the power of the models to integrate toxicogenomics data, providing species-specific biomarker predictions in response to a panel of drugs.Edik M. BlaisKristopher D. RawlsBonnie V. DoughertyZhuo I. LiGlynis L. KollingPing YeAnders WallqvistJason A. PapinNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-15 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Edik M. Blais Kristopher D. Rawls Bonnie V. Dougherty Zhuo I. Li Glynis L. Kolling Ping Ye Anders Wallqvist Jason A. Papin Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions
description	The rat is a widely-used model for human biology, but we must be aware of metabolic differences. Here, the authors reconstruct the genome-scale metabolic network of the rat, and after reconciling it with an improved human metabolic model, demonstrate the power of the models to integrate toxicogenomics data, providing species-specific biomarker predictions in response to a panel of drugs.
format	article
author	Edik M. Blais Kristopher D. Rawls Bonnie V. Dougherty Zhuo I. Li Glynis L. Kolling Ping Ye Anders Wallqvist Jason A. Papin
author_facet	Edik M. Blais Kristopher D. Rawls Bonnie V. Dougherty Zhuo I. Li Glynis L. Kolling Ping Ye Anders Wallqvist Jason A. Papin
author_sort	Edik M. Blais
title	Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions
title_short	Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions
title_full	Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions
title_fullStr	Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions
title_full_unstemmed	Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions
title_sort	reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/9312236e6c4d45bfabd7e89d7160bf95
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Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions

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