| Autor: |
Veronica V. Rezelj, Lucía Carrau, Fernando Merwaiss, Laura I. Levi, Diana Erazo, Quang Dinh Tran, Annabelle Henrion-Lacritick, Valérie Gausson, Yasutsugu Suzuki, Djoshkun Shengjuler, Bjoern Meyer, Thomas Vallet, James Weger-Lucarelli, Veronika Bernhauerová, Avi Titievsky, Vadim Sharov, Stefano Pietropaoli, Marco A. Diaz-Salinas, Vincent Legros, Nathalie Pardigon, Giovanna Barba-Spaeth, Leonid Brodsky, Maria-Carla Saleh, Marco Vignuzzi |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-021-22341-7 |
| Popis: |
Defective viral genomes (DVGs) can interfere with virus replication and provide a potential approach to control infection. Here, Rezelj et al. use a combined experimental evolution and computational approach to identify DVG sequences that optimally interfere with Zika virus infection and show antiviral activity in mice and mosquitoes. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink