ArticlemBio2025
The protein structurome of Orthornavirae and its dark matter.
Article in mBio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Artificial Intelligence in Bacteriophage Science: A Comprehensive Narrative Review of Applications, Challenges, and Translational Opportunities.Antibiotics (Basel, Switzerland) · 2026Review
- Review
- ssRNA bacteriophage metagenomes reveal a diverse set of novel protein families.Protein science : a publication of the Protein Society · 2026Article
- Elucidating the protein interaction network of one of the largest icosahedral capsids in the virosphere.The EMBO journal · 2026Article
- Identification of hot spring Obelisk-like RNA replicons and expanded diversity of the Obelisk superfamily.Nature communications · 2026Article
- Article
- Discovery of the order 'Virus evolution · 2026Article
- Charting the virosphere: computational synergies of AI and bioinformatics in viral discovery and evolution.Journal of virology · 2025Review
- Viral Dark Matter: Illuminating Protein Function, Ecology, and Biotechnological Promises.Biochemistry · 2025Review
- Recent advances in the inference of deep viral evolutionary history.Journal of virology · 2025Review
- How nidoviruses evolved the largest known RNA genomes.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- "Paraxenoviridae", a putative family of ubiquitous marine bacteriophages with double-stranded RNA genomes.bioRxiv : the preprint server for biology · 2025Article
- "Paraxenoviridae", a putative family of globally distributed marine bacteriophages with double-stranded RNA genomes.The ISME journal · 2025Article
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Authors and funding
9 authors.
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Abstract
Metatranscriptomics is uncovering more and more diverse families of viruses with RNA genomes comprising the viral kingdom Orthornavirae in the realm Riboviria. Thorough protein annotation and comparison are essential to get insights into the functions of viral proteins and virus evolution. In addition to sequence- and hmm profile‑based methods, protein structure comparison adds a powerful tool to uncover protein functions and relationships. We constructed an Orthornavirae "structurome" consisting of already annotated as well as unannotated ("dark matter") proteins and domains encoded in viral genomes. We used protein structure modeling and similarity searches to illuminate the remaining dark matter in hundreds of thousands of orthornavirus genomes. The vast majority of the dark matter domains showed either "generic" folds, such as single α-helices, or no high confidence structure predictions. Nevertheless, a variety of lineage-specific globular domains that were new either to orthornaviruses in general or to particular virus families were identified within the proteomic dark matter of orthornaviruses, including several predicted nucleic acid-binding domains and nucleases. In addition, we identified a case of exaptation of a cellular nucleoside monophosphate kinase as an RNA-binding protein in several virus families. Notwithstanding the continuing discovery of numerous orthornaviruses, it appears that all the protein domains conserved in large groups of viruses have already been identified. The rest of the viral proteome seems to be dominated by poorly structured domains including intrinsically disordered ones that likely mediate specific virus-host interactions. IMPORTANCE: Advanced methods for protein structure prediction, such as AlphaFold2, greatly expand our capability to identify protein domains and infer their likely functions and evolutionary relationships. This is particularly pertinent for proteins encoded by viruses that are known to evolve rapidly and as a result often cannot be adequately characterized by analysis of the protein sequences. We performed an exhaustive structure prediction and comparative analysis for uncharacterized proteins and domains ("dark matter") encoded by viruses with RNA genomes. The results show the dark matter of RNA virus proteome consists mostly of disordered and all-α-helical domains that cannot be readily assigned a specific function and that likely mediate various interactions between viral proteins and between viral and host proteins. The great majority of globular proteins and domains of RNA viruses are already known although we identified several unexpected domains represented in individual viral families.
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