Evidence map›Paper›PMID 30713760›Full record

ArticleActa naturae

Bacterial Enzymes and Antibiotic Resistance.

A M Egorov, M M Ulyashova, M Yu Rubtsova

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 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Review
  2. Deciphering the Bioactive Landscape ofLife (Basel, Switzerland) · 2026
    Article
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  7. Article
  8. Review
  9. Frontiers in chemistry · 2026
    Article
  10. Review
  11. Review
  12. Old drugs, new weapons: current trends in repurposing therapies against antimicrobial resistance.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
    Review
  13. Article
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  15. Article
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  20. Review

29 more citing papers are in PubMed but not listed here.

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.

A M EgorovChemistry Faculty, M.V. Lomonosov Moscow State University, Leninskie gori, 1, bldg. 3, Moscow, 119991, Russia.
M M UlyashovaChemistry Faculty, M.V. Lomonosov Moscow State University, Leninskie gori, 1, bldg. 3, Moscow, 119991, Russia.
M Yu RubtsovaChemistry Faculty, M.V. Lomonosov Moscow State University, Leninskie gori, 1, bldg. 3, Moscow, 119991, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The resistance of microorganisms to antibiotics has been developing for more than 2 billion years and is widely distributed among various representatives of the microbiological world. Bacterial enzymes play a key role in the emergence of resistance. Classification of these enzymes is based on their participation in various biochemical mechanisms: modification of the enzymes that act as antibiotic targets, enzymatic modification of intracellular targets, enzymatic transformation of antibiotics, and the implementation of cellular metabolism reactions. The main mechanisms of resistance development are associated with the evolution of superfamilies of bacterial enzymes due to the variability of the genes encoding them. The collection of all antibiotic resistance genes is known as the resistome. Tens of thousands of enzymes and their mutants that implement various mechanisms of resistance form a new community that is called "the enzystome." Analysis of the structure and functional characteristics of enzymes, which are the targets for different classes of antibiotics, will allow us to develop new strategies for overcoming the resistance.

Indexed as

antibiotic resistanceantibioticsenzymesmutant forms

Identifiers

PMID30713760
PMCPMC6351036

What OpenQuestion holds

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Registered trials

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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.