Evidence map›Paper›PMID 37272863›Full record

ArticleThe CRISPR journal2023

Search for Origins of Anti-CRISPR Proteins by Structure Comparison.

Harutyun Sahakyan, Kira S Makarova, Eugene V Koonin

Open access · greenAbstract read
In one paragraph

Article in The CRISPR journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Fold first, ask later: structure-informed function annotation ofbioRxiv : the preprint server for biology · 2025
    Article
  5. AcrDB update: Predicted 3D structures of anti-CRISPRs in human gut viromes.Protein science : a publication of the Protein Society · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Review
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 at 1 institution in 1 country.

Harutyun SahakyanNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.
Kira S MakarovaNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-8174-2844
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-3943-8299
National Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many bacterial and archaeal viruses encode anti-CRISPR proteins (Acrs) that specifically inhibit CRISPR-Cas systems via various mechanisms. The majority of the Acrs are small, non-enzymatic proteins that abrogate CRISPR activity by binding to Cas effector proteins. The Acrs evolve fast, due to the arms race with the respective CRISPR-Cas systems, which hampers the elucidation of their evolutionary origins by sequence comparison. We performed comprehensive structural modeling using AlphaFold2 for 3693 experimentally characterized and predicted Acrs, followed by a comparison to the protein structures in the Protein Data Bank database. After clustering the Acrs by sequence similarity, 363 high-quality structural models were obtained that accounted for 102 Acr families. Structure comparisons allowed the identification of homologs for 13 of these families that could be ancestors of the Acrs. Despite the limited extent of structural conservation, the inferred origins of Acrs show distinct trends, in particular, recruitment of toxins and antitoxins and SOS repair system components for the Acr function.

Indexed as

CRISPR-Associated Protein 9CRISPR-Cas SystemsBacteriaGene EditingHumansViral ProteinsCRISPR-Associated Protein 9Viral Proteins

Identifiers

PMID37272863
PMCPMC10285414
OpenAlexW4379375908

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.