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Open Access
Peer-reviewed
Research Article
New workflow predicts drug targets against SARS-CoV-2 via metabolic changes in infected cells
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Nantia Leonidou ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: nantia.leonidou@uni-tuebingen.de
Affiliations Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karls University of Tübingen, Tübingen, Germany, Department of Computer Science, Eberhard Karls University of Tübingen, Tübingen, Germany, Cluster of Excellence ‘Controlling Microbes to Fight Infections’, Eberhard Karls University of Tübingen, Tübingen, Germany
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Alina Renz,
Roles Conceptualization, Writing – review & editing
Affiliations Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karls University of Tübingen, Tübingen, Germany, Department of Computer Science, Eberhard Karls University of Tübingen, Tübingen, Germany, Cluster of Excellence ‘Controlling Microbes to Fight Infections’, Eberhard Karls University of Tübingen, Tübingen, Germany
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Reihaneh Mostolizadeh,
Roles Conceptualization, Writing – review & editing
Affiliations Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karls University of Tübingen, Tübingen, Germany, Department of Computer Science, Eberhard Karls University of Tübingen, Tübingen, Germany, Cluster of Excellence ‘Controlling Microbes to Fight Infections’, Eberhard Karls University of Tübingen, Tübingen, Germany, German Center for Infection Research (DZIF), partner site Tübingen, Germany
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Andreas Dräger
Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing
Affiliations Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karls University of Tübingen, Tübingen, Germany, Department of Computer Science, Eberhard Karls University of Tübingen, Tübingen, Germany, Cluster of Excellence ‘Controlling Microbes to Fight Infections’, Eberhard Karls University of Tübingen, Tübingen, Germany, German Center for Infection Research (DZIF), partner site Tübingen, Germany
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New workflow predicts drug targets against SARS-CoV-2 via metabolic changes in infected cells
- Nantia Leonidou,
- Alina Renz,
- Reihaneh Mostolizadeh,
- Andreas Dräger
- Published: March 23, 2023
- https://doi.org/10.1371/journal.pcbi.1010903