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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-E2B4-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-E851-9
Genre: Journal Article

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3060506_ruediger.pdf (Publisher version), 2MB
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© 2019 Ruediger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproductionin any medium,provided the original author and source are credited.
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https://creativecommons.org/licenses/by/4.0/

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 Creators:
Rüdiger, Daniel1, Author           
Kupke, Sascha Young1, Author           
Laske, Tanja1, Author           
Zmora, Pawel1, Author           
Reichl, Udo1, 2, Author           
Affiliations:
1Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pcbi.1006819
Other: pubdata_escidoc:3060506
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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 15 (2) Sequence Number: e1006819 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1