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Model-based approach for predicting the impact of genetic modifications on product yield in biopharmaceutical manufacturing—Application to influenza vaccine production

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Duvigneau,  S.
Otto-von-Guericke-Universität Magdeburg, External Organizations;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Dürr,  Robert
Process Synthesis and Process Dynamics, 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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Bachmann,  Mandy
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Dostert,  Melanie
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Kienle,  Achim
Otto-von-Guericke-Universität Magdeburg, External Organizations;
Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Citation

Duvigneau, S., Dürr, R., Laske, T., Bachmann, M., Dostert, M., & Kienle, A. (2020). Model-based approach for predicting the impact of genetic modifications on product yield in biopharmaceutical manufacturing—Application to influenza vaccine production. PLoS Computational Biology, 16(6): e1007810. doi:10.1371/journal.pcbi.1007810.


Cite as: https://hdl.handle.net/21.11116/0000-0007-1BF0-C
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