Evidence map›Paper›PMID 39714180›Full record

ArticlemBio2025

The protein structurome of Orthornavirae and its dark matter.

Pascal Mutz, Antonio Pedro Camargo, Harutyun Sahakyan, Uri Neri, Anamarija Butkovic, Yuri I Wolf, Mart Krupovic, Valerian V Dolja, Eugene V Koonin

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Review
  3. ssRNA bacteriophage metagenomes reveal a diverse set of novel protein families.Protein science : a publication of the Protein Society · 2026
    Article
  4. Article
  5. Article
  6. iScience · 2026
    Article
  7. Discovery of the order 'Virus evolution · 2026
    Article
  8. Review
  9. Review
  10. Review
  11. How nidoviruses evolved the largest known RNA genomes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Pascal MutzDivision of Intramural Research, Computational Biology Branch, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-0430-2095
Antonio Pedro CamargoDepartment of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Harutyun SahakyanDivision of Intramural Research, Computational Biology Branch, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.
Uri NeriDepartment of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0003-0894-2484
Anamarija ButkovicInstitut Pasteur, Université Paris Cité, CNRS UMR6047, Archaeal Virology Unit, Paris, France.ORCID 0000-0002-1435-0912
Yuri I WolfDivision of Intramural Research, Computational Biology Branch, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-0247-8708
Mart KrupovicInstitut Pasteur, Université Paris Cité, CNRS UMR6047, Archaeal Virology Unit, Paris, France.ORCID 0000-0001-5486-0098
Valerian V DoljaDepartment of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon, USA.ORCID 0000-0002-8148-4670
Eugene V KooninDivision of Intramural Research, Computational Biology Branch, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-3943-8299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

RNA VirusesViral ProteinsGenome, ViralModels, MolecularProtein ConformationViral Proteinsnovel protein domainsOrthornaviriaprotein structure predictionproteomeRNA virus

Identifiers

PMID39714180
PMCPMC11796362

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.