Computational Screening of Selected Phytochemicals Against Levofloxacin and Metronidazole-Resistant Indonesian H. pylori Strains

The incidence of levofloxacin and metronidazole resistance in H. pylori Indonesian strains is increasing. Conventional approaches to antibacterial discovery are often a protracted process. This study uses structure-based virtual screening to quickly discover anti-H. pylori. This study employed homology modeling, docking, ADMET prediction, and molecular dynamics simulation to evaluate phytochemicals against resistant H. pylori gyrA, gyrB, and rdxA structures from Indonesian strains. Three-dimensional structures were constructed from the amino acid sequences gyrA, gyrB, and rdxA of levofloxacin- and metronidazole-resistant H. pylori Indonesian strains. The results of redocking at the binding sites gyrA (0.13 Å), gyrB (0.0024 Å), and rdxA (0.5 Å) obtained a valid RMSD. Curcumin exhibited the lowest average binding scores across gyrA (−154.994 kcal/mol), gyrB (−159.2033 kcal/mol), and rdxA (−166.322 kcal/mol) compared to other compounds and standard therapies, including levofloxacin (−109.1553 and −122.5873 kcal/mol) and metronidazole (−85.6096 kcal/mol). Molecular dynamics simulation results revealed that the curcumin–gyrA complex exhibited comparatively more restrained fluctuation than the other complexes throughout the simulation, as indicated by a consistently low total RMSD value (4–7 Å). Curcumin demonstrated the most favorable computational interaction profile among the evaluated compounds.

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Publication Details

Journal
Microorganisms
Published
2026-06-09
DOI
https://doi.org/10.3390/microorganisms14061299
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Computational Screening of Selected Phytochemicals Against Levofloxacin and Metronidazole-Resistant Indonesian H. pylori Strains

Sukardiman Sukardiman, Musa Ghufron, Muhammad Miftahussurur
Microorganisms
Computational Drug Discovery Methods
article

Computational Screening of Selected Phytochemicals Against Levofloxacin and Metronidazole-Resistant Indonesian H. pylori Strains

Sukardiman Sukardiman, Musa Ghufron, Muhammad Miftahussurur
article en

Abstract

The incidence of levofloxacin and metronidazole resistance in H. pylori Indonesian strains is increasing. Conventional approaches to antibacterial discovery are often a protracted process. This study uses structure-based virtual screening to quickly discover anti-H. pylori. This study employed homology modeling, docking, ADMET prediction, and molecular dynamics simulation to evaluate phytochemicals against resistant H. pylori gyrA, gyrB, and rdxA structures from Indonesian strains. Three-dimensional structures were constructed from the amino acid sequences gyrA, gyrB, and rdxA of levofloxacin- and metronidazole-resistant H. pylori Indonesian strains. The results of redocking at the binding sites gyrA (0.13 Å), gyrB (0.0024 Å), and rdxA (0.5 Å) obtained a valid RMSD. Curcumin exhibited the lowest average binding scores across gyrA (−154.994 kcal/mol), gyrB (−159.2033 kcal/mol), and rdxA (−166.322 kcal/mol) compared to other compounds and standard therapies, including levofloxacin (−109.1553 and −122.5873 kcal/mol) and metronidazole (−85.6096 kcal/mol). Molecular dynamics simulation results revealed that the curcumin–gyrA complex exhibited comparatively more restrained fluctuation than the other complexes throughout the simulation, as indicated by a consistently low total RMSD value (4–7 Å). Curcumin demonstrated the most favorable computational interaction profile among the evaluated compounds.

MicroorganismsVol. 14(6)
Universitas Airlangga (ID)
Openalex Percentile: Top 5%
Computational Drug Discovery Methods
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