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The Viral AlphaFold Database of monomers and homodimers reveals conserved protein folds in viruses of bacteria, archaea, and eukaryotes
Open accessPreprint — published as 10.1126/sciadv.adz8560 · Paper page
Abstract
Viruses are among the most abundant and genetically diverse entities on Earth, yet the functions and evolutionary origins of most viral proteins remain poorly understood. Their rapid evolution often obscures evolutionary relationships, making it difficult to assign functions using sequence-based methods alone. Although conservation of protein fold can reveal deep homologies undetectable by sequence comparison, viral proteins remain vastly underrepresented in structural databases, limiting our ability to explore them at the structural level. Here, we address this gap by clustering all unique viral sequences from the NCBI RefSeq database and predicting the structures of ∼27,000 representative proteins using AlphaFold2, creating a large-scale viral structural resource, the Viral AlphaFold Database (VAD). We uncover ∼10,000 proteins belonging to clusters that share folds across viruses infecting bacteria, archaea, and eukaryotes, revealing shared protein folds across diverse host-infecting viruses. We also predict oligomeric states using AlphaFold2-based homodimer modelling, alongside structural comparisons to the Protein Data Bank, providing valuable new data on the potential for viral proteins to oligomerise. We further reveal that large regions of the viral protein universe remain functionally dark and report the discovery and experimental validation of a previously uncharacterised antiviral toxin-antitoxin (TA) system. VAD is a resource that provides a foundation for exploring viral structure–function relationships, including ancient folds that shape viral interactions across all life. Predicted structures used in this study are available at data-sharing.atkinson-lab.com/vad/.
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Highly accurate protein structure prediction with AlphaFold
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Metadata
- Authors
- Odai, R., Leemann, M., Al-Murad, T., Abdullah, M., Shyrokova, L., Tenson, T., Hauryliuk, V., Durairaj, J., Pereira, J., & Atkinson, G. C.
- Affiliations
- Lund University (SE)
- University of Basel (CH)
- University of Tartu (EE)
- SIB Swiss Institute of Bioinformatics (CH)
- Corresponding author
- Atkinson, Gemma C.
- ORCID
- Venue
- Science Advances
- Publisher
- openRxiv
- Published
- 2025-05-16
- Volume
- 11
- Issue
- 40
- Pages
- eadz8560-eadz8560
- ISSN
- 2375-2548 (ISSN-L)
- PMC
- PMC12487901
- OpenAlex
- W4414694698
- Cited by
- 16
- References
- 1
- Citations by year
- 2026: 9 · 2025: 7
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Science Advances (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- Lirias (KU Leuven) (submittedVersion, cc-by)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- Universität Basel
- Göran Gustafssons Stiftelser
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (223634)
- Eesti Teadusagentuur (PRG2696)
- Knut och Alice Wallenbergs Stiftelse (2022-06725, 2020.0037)
- Vetenskapsrådet (2021-01146, 2019-01085, 2024-06071, 2024-06059, 2022-01603, 2022-06725)
- Erasmus+
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
- Keywords
- viral proteins, protein structure prediction, AlphaFold2, homodimer, oligomerization, viral evolution, toxin-antitoxin systems, archaeal viruses, eukaryotic viruses, structure-function relationship, protein sequence clustering
- MeSH terms
- Archaea, Bacteria, Models, Molecular, Viral Proteins, Viruses, Protein Folding, Databases, Protein, Protein Multimerization, Eukaryota
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