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Journal Article

Multiscale modeling of influenza A virus replication in cell cultures predicts infection dynamics for highly different infection conditions

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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Kupke,  Sascha Young
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;

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Zmora,  Pawel
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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3060506_ruediger.pdf
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Citation

Rüdiger, D., Kupke, S. Y., Laske, T., Zmora, P., & Reichl, U. (2019). Multiscale modeling of influenza A virus replication in cell cultures predicts infection dynamics for highly different infection conditions. PLoS Computational Biology, 15(2): e1006819. doi:10.1371/journal.pcbi.1006819.


Cite as: https://hdl.handle.net/21.11116/0000-0003-E2B4-2
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