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Mathematical model calibrated to in vitro data predicts mechanisms of antiviral action of the influenza defective interfering particle “OP7”

MPS-Authors
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Rüdiger,  Daniel
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Piasecka,  Julita
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Küchler,  Jan
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Pontes,  Carolina
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Laske,  Tanja
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany;

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Kupke,  Sascha Young
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Reichl,  Udo
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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ruediger_3575414.pdf
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Citation

Rüdiger, D., Piasecka, J., Küchler, J., Pontes, C., Laske, T., Kupke, S. Y., et al. (2024). Mathematical model calibrated to in vitro data predicts mechanisms of antiviral action of the influenza defective interfering particle “OP7”. iScience, 27(4): 109421. doi:10.1016/j.isci.2024.109421.


Cite as: https://hdl.handle.net/21.11116/0000-000E-B27F-B
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