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

Duvigneau, S.; Dürr, Robert; Laske, Tanja; Bachmann, Mandy; Dostert, Melanie; Kienle, Achim

doi:10.1371/journal.pcbi.1007810

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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;

/persons/resource/persons86163

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

/persons/resource/persons86384

Laske, Tanja
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons135935

Bachmann, Mandy
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons195309

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

/persons/resource/persons86359

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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duerr_3255667.pdf
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引用

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):. doi:10.1371/journal.pcbi.1007810.

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

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