Explore the viral world
ViralZone is a comprehensive resource for information on viruses, providing detailed descriptions, images, and classifications of various viral families and species.
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Coronavirus Resource

ViralZone design updateAug. 2025
The visual design of ViralZone is undergoing a major update to modernise the website. In addition to the graphical changes, the homepage menus are now available from every page in the form of a drop-down menu at the top right of the page.
Links to Viro3DJan. 2025
The ViralZone genus pages are now linked to Viro3D, which is a comprehensive, searchable and browsable database of viral protein structure predictions containing over 85,000 structural models of more than 4,400 human and animal viruses. These make it possible to discover previously unknown similarities, such as VP2 of Myavirus, which has a predicted nucleocapsid fold.
Major update of ViralZoneJan. 2025
- The Fact Sheets are now classified under ICTV Realms and Phyla, previously it was classified under the Baltimore Classification. The ICTV classification is based on the folding of the capsid structure in DNA viruses and the RdRp homologies in RNA viruses.
- 66 new families have been added. Due to the expansion of the taxonomy, we focus on creating fact sheets at the family level instead of the genus level.
Alphafold 3D structure modelsJan. 2025
47841 predicted structures are available in the ViralZone datasheets via the 3D Models tab. These structure predictions were made by Alphafold for eukaryotic viruses are provided by Jason Nomburg, Nathan Price and Jennifer Doudna (biorxiv). These can be viewed in the ViralZone datasheets via the 3D Models tab. All available structures are sorted by virus.
Virology Podcast
Listen to TWIV: This Week in Virology a weekly podcast animated by professors Vincent Racaniello and Dick Despommier from the Columbia University, USA.
Discover ViralZone
Watch our introduction video to learn how to use ViralZone and find the information you need about viruses.
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ViralZone, SIB Swiss Institute of Bioinformatics
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