English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

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

MPS-Authors
/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;

External Resource
No external resources are shared
Fulltext (public)

duerr_3255667.pdf
(Publisher version), 4MB

Supplementary Material (public)
There is no public supplementary material available
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: http://hdl.handle.net/21.11116/0000-0007-1BF0-C
Abstract
There is no abstract available