Evidence map›Paper›PMID 36699409›Full record

ArticleBioinformatics advances2022

Folding the unfoldable: using AlphaFold to explore spurious proteins.

Vivian Monzon, Daniel H Haft, Alex Bateman

Abstract read
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Article in Bioinformatics advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Testing the reliability of AI-generated protein structures.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Ten rules for a structural bioinformatic analysis.PLoS computational biology · 2025
    Article
  9. Article
  10. Fold first, ask later: structure-informed function annotation ofbioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  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

3 authors.

Vivian MonzonEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton CB10 1SD, UK.
Daniel H HaftNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894, USA.
Alex BatemanNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894, USA.ORCID https://orcid.org/0000-0002-6982-4660

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: The release of AlphaFold 2.0 has revolutionized our ability to determine protein structures from sequences. This tool also inadvertently opens up many unanticipated opportunities. In this article, we investigate the AntiFam resource, which contains 250 protein sequence families that we believe to be spurious protein translations. We would not expect proteins belonging to these families to fold into well-ordered globular structures. To test this hypothesis, we have attempted to computationally determine the structure of a representative sequence from all AntiFam 6.0 families. Results: Although the large majority of families showed no evidence of globular structure, we have identified one example for which a globular structure is predicted. Proteins in this AntiFam entry indeed seem likely to be Availability and implementation: The AlphaFold predictions for representative sequences can be found at the following URL: https://drive.google.com/drive/folders/1u9OocRIAabGQn56GljoG1JTDAxjkY1ro. Supplementary information: Supplementary data are available at

Identifiers

PMID36699409
PMCPMC9710616

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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.