Computational Systems Biology of Infections

and Antimicrobial-Resistant Pathogens

Welcome to the Draeger Research Group!

The Dräger research group (est. July 2018) applies computer-aided systems biology, focusing on infections and antimicrobial-resistant pathogens. The research covers all steps from the biological phenomenon to its simulation in the computer, including the reconstruction of biological systems, their mathematical modeling, the standardization of these models, the development of specialized software solutions, and the application of machine learning and data visualization. Deriving model-driven new hypotheses from combating increasing antibiotic resistance systematically constitutes a primary aim.

Systems Biology: A short overview

External content

Actually, you are supposed to see a video here. To display this content (source:, please click the "Accept" button below. Please note that by viewing the video, data might be transmitted to third parties or cookies may be stored.

For further information see our privacy policy.

Follow us in social media:

Latest Publications

  1. Genome-scale metabolic models consistently predict in vitro characteristics of Corynebacterium striatum
    F. Bäuerle, G. O. Gusak, L. Camus, S. Heilbronner, and A. Dräger
    BioRxiv, April, 29th 2023.
    [ Details | DOI | PDF | PubMed | BibTeX ]
  2. New Workflow Predicts Drug Targets Against SARS-CoV-2 via Metabolic Changes in Infected Cells
    N. Leonidou, A. Renz, R. Mostolizadeh, and A. Dräger
    PLOS Computational Biology, 19(3): e1010903, March 23rd, 2023.
    [ Details | DOI | Preprint | PDF | PubMed | BibTeX ]
  3. Standard-GEM: Standardization of open-source genome-scale metabolic models
    M. Anton,  E. Almaas, R. Benfeitas, S. Benito-Vaquerizo, L. M. Blank, A. Dräger, J. M. Hancock, C. Kittikunapong, M. König, F. Li, U. W. Liebal, H. Lu, H. Ma, R. Mahadevan, A. Mardinoglu, J. Nielsen, J. Nogales, M. Pagni, J. A. Papin, K. R. Patil, N. D. Price, J. L. Robinson, B. J. Sánchez, M. Suarez Diez, S. Sulheim, L. T. Svensson, B. Teusnik, W. Vongsangnak, H. Wang, A. A. Zeidan, and E. J. Kerkhoven
    BioRxiv, March 23rd, 2023.
    [ Details | DOI | PDF | PubMed | BibTeX ]
  4. SBOannotator: a Python Tool for the Automated Assignment of Systems Biology Ontology Terms
    N. LeonidouE. FritzeA. Renz, and A. Dräger
    Preprints, February 17th 2023.
    [ Details | DOI | PDF | PubMed | BibTeX ]
  5. Genome-scale model of Pseudomonas aeruginosa metabolism unveils virulence and drug potentiation
    S. Dahal, A. Renz, A. Dräger und L. Yang
    Communications Biology, 6, 165, 10. Februar 2023.
    [ Details | DOI | PDF | PubMed | BibTeX ]
  6. Hierarchical modelling of microbial communities
    M. Glöckler, A. Dräger, and R. Mostolizadeh
    Bioinformatics, January 17th, 2023
    [ Details | DOI | PDF | PubMed | BibTeX ]
  7. An integrated systems-biology platform for power-to-gas technology
    I. Casini, T. McCubbin, S. Esquivel-Elizondo, G. G. Luque, D. Evseeva, C. Fink, S. Beblawy, N. D. Youngblut, L. Aristilde, D. H. Huson, A. Dräger, R. E. Ley, E. Marcellin, L. T. Angenent, B. Molitor.
    BioRxiv, December 31st, 2022
    [ Details | DOI | PDF | PubMed | BibTeX ]
  8. Metabolic Modeling Elucidates Phenformin and Atpenin A5 as Broad-Spectrum Antiviral Drugs
    A. Renz, M. Hohner, M. Breitenbach, J. Josephs-Spaulding, J. Dürrwald, L. Best, R. Jami, G. Marinos, F. Cabreiro, A. Dräger, M. Schindler und C. Kaleta
    Preprints 2022, 2022100223, October 17th, 2022.
    [ Details | DOI | PDF | PubMed | BibTeX ]
  9. Computational modelling in health and disease. Highlights of the 6th annual SysMod meeting
    A. Niarakis, J. Thakar, M. Barberis, M. Rodríguez Martínez, T. Helikar, M. Birtwistle, C. Chaouiya, L. Calzone, and A. Dräger
    Bioinformatics, September 22nd, 2022.
    Details | DOI | PDF | PubMed | BibTeX ]
  10. Towards the human nasal microbiome: simulating D. pigrum and S. aureus
    R. MostolizadehM. Glöckler, and A. Dräger
    Frontiers in Cellular and Infection Microbiology 2022, August 15th, 2022
    [ DetailsDOI | PDF | PubMedBibTeX ]
  11. FluxomicsExplorer: Differential visual analysis of flux sampling based on metabolomics
    C. Holzapfel, M. Hoene, X. Zhao, C. Hu, C. Weigert, A. Nieß, G. Xu, R. Lehmann, A. Dräger, and M. Krone
    Computers & Graphics, August 29th, 2022.
    [ DetailsDOI | PDF | PubMed | BibTeX ]