Evidence map›Paper›PMID 38914797›Full record

ArticleThe Journal of antibiotics2024

Identification of novel antistaphylococcal hit compounds.

Galyna P Volynets, Olga S Iungin, Olga I Gudzera, Hanna V Vyshniakova, Mariia Yu Rybak, Olena V Moshynets, Anatoliy O Balanda, Oleksiy V Borovykov, Andrii O Prykhod'ko, Sergiy S Lukashov and 4 more

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Article in The Journal of antibiotics, 2024. 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

14 authors.

Galyna P VolynetsDepartment of Medicinal Chemistry, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine. g.p.volynets@gmail.com.
Olga S IunginDepartment of Functional Genomics, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.
Olga I GudzeraDepartment of Protein Synthesis Enzymology, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.
Hanna V VyshniakovaLaboratory of Medical Microbiology with the Museum of Human Pathogenic Microorganisms, L.V. Gromashevsky Institute of Epidemiology and Infectious Diseases NAMS of Ukraine, 5 Amosova St., Kyiv, 03038, Ukraine.
Mariia Yu RybakDepartment of Microbiology and Immunology, University of Texas Medical Branch, 301 University Blvd., Galveston, TX, 77555, USA.
Olena V MoshynetsBiofilm study group, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.ORCID 0000-0002-2209-8681
Anatoliy O BalandaDepartment of Medicinal Chemistry, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.
Oleksiy V BorovykovDepartment of Medicinal Chemistry, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.
Andrii O Prykhod'koDepartment of Medicinal Chemistry, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.
Sergiy S LukashovDepartment of Medicinal Chemistry, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.
Taras H MaiulaDepartment of Medicinal Chemistry, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.
Larysa V PletnovaDepartment of Medicinal Chemistry, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.
Sergiy M YarmolukDepartment of Medicinal Chemistry, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.
Michael A TukaloDepartment of Protein Synthesis Enzymology, Institute of Molecular Biology and Genetics, the NAS of Ukraine, 150 Zabolotnogo St., Kyiv, 03143, Ukraine.

Funding

National Academy of Sciences of Ukraine (NASU) 0120U000079
6 · The paper itself

Abstract

Staphylococcus aureus is one of the most common nosocomial biofilm-forming pathogens worldwide that has developed resistance mechanisms against majority of the antibiotics. Therefore, the search of novel antistaphylococcal agents with unexploited mechanisms of action, especially with antibiofilm activity, is of great interest. Seryl-tRNA synthetase is recognized as a promising drug target for the development of antibacterials. We have carried out molecular docking of compounds with antistaphycoccal activity, which were earlier found by us using phenotypic screening, into synthetic site of S. aureus SerRS and found seven hit compounds with low inhibitory activity. Further, we have performed search of S. aureus SerRS inhibitors among compounds which were previously tested by us for inhibitory activity toward S. aureus ThrRS, that belong to the same class of aminoacyl-tRNA synthetases. Among them six hits were identified. We have selected four compounds for antibacterial study and found that the most active compound 1-methyl-3-(1H-imidazol-1-methyl-2-yl)-5-nitro-1H-indazole has MIC values toward S. aureus multidrug-resistant clinical isolates ranging from 78.12 to 156.2 µg/ml. However, this compound precipitated during anti-biofilm study. Therefore, we used 3-[N'-(2-hydroxy-3-methoxybenzylidene)hydrazino]-6-methyl-4H-[1,2,4]triazin-5-one with better solubility (ClogS value = 2.9) among investigated compounds toward SerRS for anti-biofilm study. It was found that this compound has a significant inhibitory effect on the growth of planktonic and biofilm culture of S. aureus 25923 with MIC value of 32 µg ml

Indexed as

Anti-Bacterial AgentsBiofilmsMicrobial Sensitivity TestsMolecular Docking SimulationStaphylococcus aureusAnti-Bacterial Agents

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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.