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An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism
View ORCID ProfileDawson D. Payne, View ORCID ProfileAlina Renz, Laura J. Dunphy, Taylor Lewis, View ORCID ProfileAndreas Dräger, Jason A. Papin
doi: https://doi.org/10.1101/2021.03.10.434463
Dawson D. Payne
1Department of Biomedical Engineering, University of Virginia
Alina Renz
2Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, Tübingen, Germany
Laura J. Dunphy
1Department of Biomedical Engineering, University of Virginia
Taylor Lewis
3Department of Chemical Engineering, University of Massachusetts Amherst
Andreas Dräger
2Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, Tübingen, Germany
Jason A. Papin
1Department of Biomedical Engineering, University of Virginia
Posted June 16, 2021.
An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism
Dawson D. Payne, Alina Renz, Laura J. Dunphy, Taylor Lewis, Andreas Dräger, Jason A. Papin
bioRxiv 2021.03.10.434463; doi: https://doi.org/10.1101/2021.03.10.434463
An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism
Dawson D. Payne, Alina Renz, Laura J. Dunphy, Taylor Lewis, Andreas Dräger, Jason A. Papin
bioRxiv 2021.03.10.434463; doi: https://doi.org/10.1101/2021.03.10.434463
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