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学術論文

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
(出版社版), 7MB

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引用

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


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