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  Mathematical model calibrated to in vitro data predicts mechanisms of antiviral action of the influenza defective interfering particle “OP7”

Rüdiger, D., Piasecka, J., Küchler, J., Pontes, C., Laske, T., Kupke, S. Y., et al. (2024). Mathematical model calibrated to in vitro data predicts mechanisms of antiviral action of the influenza defective interfering particle “OP7”. iScience, 27(4): 109421. doi:10.1016/j.isci.2024.109421.

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ruediger_3575414.pdf (Publisher version), 7MB
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iScience 2024. Copyright The Author(s). This is an open access article under the CC BY license.

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 Creators:
Rüdiger, Daniel1, Author           
Piasecka, Julita1, Author           
Küchler, Jan1, Author           
Pontes, Carolina1, Author           
Laske, Tanja1, 2, Author           
Kupke, Sascha Young1, Author           
Reichl, Udo1, 3, Author           
Affiliations:
1Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140              
2Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany, ou_persistent22              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2024
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.isci.2024.109421
Other: pubdata_escidoc:3575414
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Title: iScience
Source Genre: Journal
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Publ. Info: Amsterdam ; Bosten ; London ; New York ; Oxford ; Paris ; Philadelphia ; San Diego ; St. Louis : Elsevier
Pages: - Volume / Issue: 27 (4) Sequence Number: 109421 Start / End Page: - Identifier: ISSN: 2589-0042
CoNE: https://pure.mpg.de/cone/journals/resource/2589-0042