Evidence map›Paper›PMID 36798081›Full record

ArticleBioinformatics and biology insights2023

Identification of Putative Drug Targets in Highly Resistant Gram-Negative Bacteria; and Drug Discovery Against Glycyl-tRNA Synthetase as a New Target.

Sepideh Fereshteh, Narjes Noori Goodarzi, Hourieh Kalhor, Hamzeh Rahimi, Seyed Mahmoud Barzi, Farzad Badmasti

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics and biology insights, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Sepideh FereshtehDepartment of Bacteriology, Pasteur Institute of Iran, Tehran, Iran.
Narjes Noori GoodarziDepartment of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Hourieh KalhorCellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran.
Hamzeh RahimiMolecular Medicine Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Seyed Mahmoud BarziDepartment of Bacteriology, Pasteur Institute of Iran, Tehran, Iran.
Farzad BadmastiDepartment of Bacteriology, Pasteur Institute of Iran, Tehran, Iran.
Pasteur Institute of Iran · IRBiotechnology Research Center · IRQom University of Medical Science and Health Services · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gram-negative bacterial infections are on the rise due to the high prevalence of multidrug-resistant bacteria, and efforts must be made to identify novel drug targets and then new antibiotics. Methods: In the upstream part, we retrieved the genome sequences of 4 highly resistant Gram-negative bacteria (e.g., Results: A total of 6 common proteins (e.g., RP-L28, RP-L30, RP-S20, RP-S21, Rnt, and GlyQ) were selected as novel and widespread drug targets against highly resistant Gram-negative superbugs based on different criteria. In the downstream analysis, virtual screening revealed that Rimocidin, Flavofungin, Chaxamycin, 11,11'-O-dimethyl-14'-deethyl-14'-methylelaiophylin, and Platensimycin were promising hit compounds against GlyQ protein. Finally, 11,11'-O-dimethyl-14'-deethyl-14'-methylelaiophylin was identified as the best potential inhibitor of GlyQ protein. This compound showed high absorption capacity in the human intestine. Conclusion: The results of this study provide 6 common putative new drug targets against 4 highly resistant and Gram-negative bacteria. Moreover, we presented 5 different hit compounds against GlyQ protein as a novel therapeutic target. However, further in vitro and in vivo studies are needed to explore the bactericidal effects of proposed hit compounds against these superbugs.

Indexed as

computer-aided drug discoveryGlyQ proteinGram-negative bacteriaStreptomeDB libraryvirtual screening

Identifiers

PMID36798081
PMCPMC9926382
OpenAlexW4320499411

What OpenQuestion holds

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LicenceCC BY-NC
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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.