Evidence map›Paper›PMID 39592652›Full record

ArticleNature communications2024

A proteome-wide structural systems approach reveals insights into protein families of all human herpesviruses.

Timothy K Soh, Sofia Ognibene, Saskia Sanders, Robin Schäper, Benedikt B Kaufer, Jens B Bosse

Abstract read
In one paragraph

Article in Nature communications, 2024. 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. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  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

6 authors.

Timothy K SohHannover Medical School, Institute of Virology, Hanover, Germany.
Sofia OgnibeneHannover Medical School, Institute of Virology, Hanover, Germany.ORCID 0009-0001-6981-0226
Saskia SandersHannover Medical School, Institute of Virology, Hanover, Germany.ORCID 0000-0001-7140-6735
Robin SchäperHannover Medical School, Institute of Virology, Hanover, Germany.ORCID 0009-0002-0992-4974
Benedikt B KauferInstitute of Virology, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0003-1328-2695
Jens B BosseHannover Medical School, Institute of Virology, Hanover, Germany. jens.bosse@cssb-hamburg.de.ORCID 0000-0001-7252-5541

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) Leibniz ScienceCampus InterACtDeutsche Forschungsgemeinschaft (German Research Foundation) FOR5200 DEEP-DV (443644894) project KA 3492/12-1Leibniz-Gemeinschaft (Leibniz Association) W75/2022 InterACtWellcome TrustWellcome Trust (Wellcome) Collaborative Award (209250/Z/17/Z)
6 · The paper itself

Abstract

Structure predictions have become invaluable tools, but viral proteins are absent from the EMBL/DeepMind AlphaFold database. Here, we provide proteome-wide structure predictions for all nine human herpesviruses and analyze them in depth with explicit scoring thresholds. By clustering these predictions into structural similarity groups, we identified new families, such as the HCMV UL112-113 cluster, which is conserved in alpha- and betaherpesviruses. A domain-level search found protein families consisting of subgroups with varying numbers of duplicated folds. Using large-scale structural similarity searches, we identified viral proteins with cellular folds, such as the HSV-1 US2 cluster possessing dihydrofolate reductase folds and the EBV BMRF2 cluster that might have emerged from cellular equilibrative nucleoside transporters. Our HerpesFolds database is available at https://www.herpesfolds.org/herpesfolds and displays all models and clusters through an interactive web interface. Here, we show that system-wide structure predictions can reveal homology between viral species and identify potential protein functions.

Indexed as

HerpesviridaeProteomeViral ProteinsDatabases, ProteinHumansModels, MolecularProteomeViral Proteins

Identifiers

PMID39592652
PMCPMC11599850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.