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Exploring the metabolic profiling of A. baumannii for antimicrobial development using genome-scale modeling
View ORCID ProfileNantia Leonidou, View ORCID ProfileYufan Xia, View ORCID ProfileAndreas Dräger
doi: https://doi.org/10.1101/2023.09.13.557502
Nantia Leonidou
1Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karl University of Tübingen, Sand 14, 72076 Tübingen, Germany
2Department of Computer Science, Eberhard Karl University of Tübingen, Sand 14, 72076 Tübingen, Germany
3Cluster of Excellence ‘Controlling Microbes to Fight Infections’, Eberhard Karl University of Tübingen, Germany
4German Center for Infection Research (DZIF), partner site Tübingen, Germany
Yufan Xia
2Department of Computer Science, Eberhard Karl University of Tübingen, Sand 14, 72076 Tübingen, Germany
Andreas Dräger
1Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karl University of Tübingen, Sand 14, 72076 Tübingen, Germany
2Department of Computer Science, Eberhard Karl University of Tübingen, Sand 14, 72076 Tübingen, Germany
3Cluster of Excellence ‘Controlling Microbes to Fight Infections’, Eberhard Karl University of Tübingen, Germany
4German Center for Infection Research (DZIF), partner site Tübingen, Germany
Posted September 15, 2023.
Exploring the metabolic profiling of A. baumannii for antimicrobial development using genome-scale modeling
Nantia Leonidou, Yufan Xia, Andreas Dräger
bioRxiv 2023.09.13.557502; doi: https://doi.org/10.1101/2023.09.13.557502
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