Evidence map›Paper›PMID 35265355›Full record

ArticleSovremennye tekhnologii v meditsine2021

Computer Program for Detection and Analyzing the Porin-Mediated Antibiotic Resistance of Bacteria.

T A Savinova, A A Samchenko, Y A Bocharova, N A Mayansky, I V Chebotar

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In one paragraph

Article in Sovremennye tekhnologii v meditsine, 2021. 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

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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

5 authors.

T A SavinovaLeading Researcher, Laboratory of Molecular Microbiology; Pirogov National Research Medical University, 1 Ostrovityanova St., Moscow, 117997, Russia.
A A SamchenkoResearcher, Laboratory of Structure and Dynamics of Biomolecular Systems; Institute of Cell Biophysics of the Russian Academy of Sciences - Subdivision of the Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", 3 Institutskaya St., Moscow Region, Pushchino, 142290, Russia.
Y A BocharovaSenior Researcher, Laboratory of Molecular Microbiology; Pirogov National Research Medical University, 1 Ostrovityanova St., Moscow, 117997, Russia.
N A MayanskyProfessor of the Russian Academy of Sciences, Head of the Center for Laboratory Diagnostics, Russian Children's Clinical Hospital; Pirogov National Research Medical University, 1 Ostrovityanova St., Moscow, 117997, Russia.
I V ChebotarHead of the Laboratory of Molecular Microbiology; Pirogov National Research Medical University, 1 Ostrovityanova St., Moscow, 117997, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Materials and Methods: The proposed algorithm is based on searching for a correspondence between the reference and the studied genes. When the sought nucleotide sequence is found in the analyzed genome, it is compared with the reference one and analyzed. The genomic analysis is then verified by comparing between the amino acid sequences encoded by the reference and studied genes. The genes of the susceptible Results: The developed program for detecting the genetic determinants of non-plasmid antibiotic resistance made it possible to identify mutations of various types and significance in the porin genes of Conclusion: The proposed software product can become an effective tool for deciphering the molecular genetic mechanisms of bacterial chromosomal resistance to antibiotics. Testing the program revealed differences between the occurrences of mutations significant for carbapenem resistance in the

Indexed as

Drug Resistance, BacterialPorinsMicrobial Sensitivity TestsPseudomonas aeruginosaSoftwarePorinsantibiotic resistancecarbapenemsporin genesPseudomonas aeruginosaОpdDОpdPОprD

Identifiers

PMID35265355
PMCPMC8858402

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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.