Evidence map›Paper›PMID 40594094›Full record

ArticleScientific reports2025

Exploring the potential role of GyrA inhibiting quinoline analog: an in silico study.

Soumyadip Ghosh, Sudha Ramaiah

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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.

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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

2 authors.

Soumyadip GhoshMedical and Biological Computing Laboratory, School of Biosciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, India.
Sudha RamaiahMedical and Biological Computing Laboratory, School of Biosciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, India. sudhaanand@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluoroquinolone-resistant Pseudomonas aeruginosa poses a significant global health concern, particularly in healthcare settings. This opportunistic pathogen has developed resistance against multiple classes of antibiotics, rendering infections challenging to treat. The present study focused on identifying quinoline analogs as potential inhibitors of gyrA in fluoroquinolone-resistant P. aeruginosa. Utilizing structural bioinformatics, molecular docking, molecular dynamics (MD) simulations, and MM/PBSA binding energy analyses, the quinoline analog, N-benzylquinoline-8-sulfonamide (M2), emerged as the most promising candidate. Molecular docking revealed M2's better binding affinity to gyrA wild type as well as frequently observed mutants, demonstrated average binding energy of - 8.14 kcal/mol, significantly better than ciprofloxacin (- 7.13 kcal/mol) and levofloxacin (- 6.57 kcal/mol). M2 exhibited a robust inhibition constant of 1.09 µM, surpassing control antibiotics ciprofloxacin (6.11 µM) and levofloxacin (15.34 µM). MD simulations validated the dynamic stability of M2 and gyrA complexes (wild-type and mutant), whereas MM/PBSA analysis confirmed strong binding energetics. Principal Component Analysis (PCA) further validated the stability of these complexes by identifying the global energy minima across conformational landscapes. M2 exhibited enhanced efficacy and stability against resistance-associated mutations compared to the standard antibiotics ciprofloxacin and levofloxacin. These findings underscore M2's potential as a potent therapeutic agent against fluoroquinolone-resistant P. aeruginosa. Further experimental validation is necessary to confirm its efficacy and to translate these computational insights into clinical applications.

Indexed as

Anti-Bacterial AgentsDNA GyrasePseudomonas aeruginosaQuinolinesTopoisomerase II InhibitorsCiprofloxacinDrug Resistance, BacterialLevofloxacinMicrobial Sensitivity TestsMolecular Docking SimulationMolecular Dynamics SimulationAnti-Bacterial AgentsCiprofloxacinDNA GyraseLevofloxacinquinolineQuinolinesTopoisomerase II InhibitorsAMRCiprofloxacinFluoroquinoloneLevofloxacinMutationsPseudomonas aeruginosa

Identifiers

PMID40594094
PMCPMC12216884

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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.