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Exploring the metabolic profiling of A. baumannii for antimicrobial development using genome-scale modelling
View ORCID ProfileNantia Leonidou, View ORCID ProfileYufan Xia, Lea Friedrich, Monika S. Schütz, 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 Tü bingen, Sand 14, 72076 Tü bingen, Germany
2Department of Computer Science, Eberhard Karl University of Tü bingen, Sand 14, 72076 Tü bingen, Germany
3Cluster of Excellence ‘Controlling Microbes to Fight Infections’, Eberhard Karl University of Tü bingen, Germany
4German Center for Infection Research (DZIF), partner site Tü bingen, Germany
Yufan Xia
2Department of Computer Science, Eberhard Karl University of Tü bingen, Sand 14, 72076 Tü bingen, Germany
Lea Friedrich
5Interfaculty Institute for Microbiology and Infection Medicine, Institute for Medical Microbiology and Hygiene, University Hospital Tü bingen, 72076 Tü bingen, Germany
Monika S. Schütz
5Interfaculty Institute for Microbiology and Infection Medicine, Institute for Medical Microbiology and Hygiene, University Hospital Tü bingen, 72076 Tü bingen, Germany
Andreas Dräger
4German Center for Infection Research (DZIF), partner site Tü bingen, Germany
6Institute of Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, Germany
Posted February 07, 2024.
Exploring the metabolic profiling of A. baumannii for antimicrobial development using genome-scale modelling
Nantia Leonidou, Yufan Xia, Lea Friedrich, Monika S. Schütz, Andreas Dräger
bioRxiv 2023.09.13.557502; doi: https://doi.org/10.1101/2023.09.13.557502
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