Evidence map›Paper›PMID 36124272›Full record

ReviewBiophysical reviews2022

Structural organization, evolution, and distribution of viral pyrimidine dimer-DNA glycosylases.

Alexandra N Karmanova, Nikita A Nikulin, Andrei A Zimin

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Alexandra N KarmanovaLaboratory of Molecular Microbiology, G.K. Skryabin Institute of Biochemistry and Physiology of Microorganisms, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Federal Research Center, Pushchino, 142290 Russia.ORCID 0000-0003-2288-2529
Nikita A NikulinLaboratory of Bacteriophage Biology, G.K. Skryabin Institute of Biochemistry and Physiology of Microorganisms, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Federal Research Center, 142290 Pushchino, Russia.ORCID 0000-0002-6024-1725
Andrei A ZiminLaboratory of Molecular Microbiology, G.K. Skryabin Institute of Biochemistry and Physiology of Microorganisms, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Federal Research Center, Pushchino, 142290 Russia.ORCID 0000-0003-0578-9963

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA glycosylases are DNA repair enzymes capable of removing damaged nitrogenous bases, including those formed as a result of UV irradiation with sunlight (approximately 300-400 нм). DNA glycosylases are common not only among bacteria, archaea, and eukaryotes, but some groups of viruses can also encode them. The best-known viral glycosylase is endonuclease V (DenV, Pdg-T4) of Escherichia virus T4, the main substrate of which is cyclobutane pyrimidine dimers. DenV is isolated separately from other large families of glycosylases; it is quite common in nature and has homologs in a number of other viruses and even bacteria. However, the ways of its origin are poorly understood. The best-known DenV homolog is the glycosylase of Chlorella virus strain, PBCV-1 (Cv-pdg). This review contains the main known data on the structure and mechanism of operation of DenV and its homologs. The issues of biological importance and distribution of the enzyme and its homologs among viruses are considered and supplemented separately. Supplementary Information: The online version contains supplementary material available at 10.1007/s12551-022-00972-4.

Indexed as

BERDenVUVViruses

Identifiers

PMID36124272
PMCPMC9481830

What OpenQuestion holds

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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.