Evidence map›Paper›PMID 18582510›Full record

ArticlePeptides2008

Massive peptide sharing between viral and human proteomes.

Darja Kanduc, Angela Stufano, Guglielmo Lucchese, Anthony Kusalik

Abstract read
In one paragraph

Article in Peptides, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Multiple molecular mimics in Epstein Barr Nuclear Antigen-1, and the pathogenesis of multiple sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. The oral microbiome in autoimmune diseases: friend or foe?Journal of translational medicine · 2023
    Review
  10. SARS-CoV-2: The Self-Nonself Issue and Diagnostic Tests.Journal of laboratory physicians · 2023
    Article
  11. Article
  12. Review
  13. Review
  14. HLA-G and the MHC Cusp Theory.Frontiers in immunology · 2022
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Darja KanducDepartment of Biochemistry and Molecular Biology, University of Bari, Bari 70126, Italy. d.kanduc@biologia.uniba.it
Angela Stufano
Guglielmo Lucchese
Anthony Kusalik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thirty viral proteomes were examined for amino acid sequence similarity to the human proteome, and, in parallel, a control of 30 sets of human proteins was analyzed for internal human overlapping. We find that all of the analyzed 30 viral proteomes, independently of their structural or pathogenic characteristics, present a high number of pentapeptide overlaps to the human proteome. Among the examined viruses, human T-lymphotropic virus 1, Rubella virus, and hepatitis C virus present the highest number of viral overlaps to the human proteome. The widespread and ample distribution of viral amino acid sequences through the human proteome indicates that viral and human proteins are formed of common peptide backbone units and suggests a fluid compositional chimerism in phylogenetic entities canonically classified distantly as viruses and Homo sapiens. Importantly, the massive viral to human peptide overlapping calls into question the possibility of a direct causal association between virus-host sharing of amino acid sequences and incitement to autoimmune reactions through molecular recognition of common motifs.

Indexed as

ProteomeAmino Acid SequenceDatabases, ProteinHumansMolecular Sequence DataPeptidesViral ProteinsPeptidesProteomeViral Proteins

Identifiers

PMID18582510
PMCPMC7115663

What OpenQuestion holds

Textmetadata
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.