Evidence map›Paper›PMID 35127150›Full record

ArticleActa naturae

Evaluation of the Antiviral Potential of Modified Heterocyclic Base and 5'-Norcarbocyclic Nucleoside Analogs Against SARS-CoV-2.

E S Matyugina, M S Novikov, L I Kozlovskaya, V P Volok, E Y Shustova, A A Ishmukhametov, S N Kochetkov, A L Khandazhinskaya

Abstract read
In one paragraph

Article in Acta naturae. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

E S MatyuginaEngelhardt Institute of Molecular Biology, Moscow, 119991 Russia.
M S NovikovVolgograd State Medical University, Volgograd, 400131 Russia.
L I KozlovskayaFSBSI "Chumakov Federal Scientific Center for Research and Development of Immune and Biological Products of the Russian Academy of Sciences", Moscow, 108819 Russia.
V P VolokFSBSI "Chumakov Federal Scientific Center for Research and Development of Immune and Biological Products of the Russian Academy of Sciences", Moscow, 108819 Russia.
E Y ShustovaFSBSI "Chumakov Federal Scientific Center for Research and Development of Immune and Biological Products of the Russian Academy of Sciences", Moscow, 108819 Russia.
A A IshmukhametovFSBSI "Chumakov Federal Scientific Center for Research and Development of Immune and Biological Products of the Russian Academy of Sciences", Moscow, 108819 Russia.
S N KochetkovEngelhardt Institute of Molecular Biology, Moscow, 119991 Russia.
A L KhandazhinskayaEngelhardt Institute of Molecular Biology, Moscow, 119991 Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic caused by the novel betacoronavirus SARS-CoV-2 has already claimed more than 3.5 million lives. Despite the development and use of anti-COVID-19 vaccines, the disease remains a major public health challenge throughout the world. Large-scale screening of the drugs already approved for the treatment of other viral, bacterial, and parasitic infections, as well as autoimmune, oncological, and other diseases is currently underway as part of their repurposing for development of effective therapeutic agents against SARS-CoV-2. In this work, we present the results of a phenotypic screening of libraries of modified heterocyclic bases and 5'-norcarbocyclic nucleoside analogs previously synthesized by us. We identified two leading compounds with apparent potential to inhibit SARS-CoV-2 replication and EC

Indexed as

antiviral drugsnucleoside analogsnucleosidesSARS-CoV-2

Identifiers

PMID35127150
PMCPMC8807529

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.