Methoxy and Thiophene Chalcone Derivatives Against Multidrug‐resistant Bacteria: Synthesis, in Vitro Evaluation, and Molecular Docking Insights

The global rise in antibiotic resistance demands the urgent development of new antibacterial agents. This study investigated the antibacterial potential of four synthesized methoxy and thiophene chalcone derivatives (designated 3a, 4a, 3b, and 4b) against clinically relevant bacterial pathogens. These compounds were prepared through Claisen-Schmidt condensation, while their chemical structures were verified through applying Fourier-transform infrared, mass spectrometry, <sup>1</sup>H nuclear magnetic resonance (NMR), and <sup>13</sup>C NMR. Their antibacterial activity was tested in vitro, employing minimum inhibitory concentration (MIC) and well diffusion assays. Among these synthesized compounds, 3a demonstrated the strongest antibacterial efficacy, showing notable inhibition zones and low MIC values against S. aureus and E. coli, suggesting an increased effectiveness against Gram-negative strains. Molecular docking studies targeting Penicillin-Binding Protein 4 from S. aureus indicated robust binding affinities, with 3a and 4a exhibiting interactions comparable to or even exceeding ampicillin. Additionally, computational Absorption, Distribution, Metabolism, Excretion, and Toxicity analysis confirmed promising pharmacokinetics, such as adherence with Lipinski's Rule of Five, high gastrointestinal absorption, and low toxicity profiles. These insights emphasize a great potential in the synthesized derivatives for further advancement in addressing multidrug-resistant bacterial infections, and potentially expanding the range of effective antibacterial drugs.

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Publication Details

Journal
Chemistry & Biodiversity
Published
2025-09-09
DOI
https://doi.org/10.1002/cbdv.202502016
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Methoxy and Thiophene Chalcone Derivatives Against Multidrug‐resistant Bacteria: Synthesis, in Vitro Evaluation, and Molecular Docking Insights

Tavga Ahmed Aziz, Narmin Hamaamin Hussen, Hozan Jaza Hama Salh
Chemistry & Biodiversity
Computational Drug Discovery Methods
article

Methoxy and Thiophene Chalcone Derivatives Against Multidrug‐resistant Bacteria: Synthesis, in Vitro Evaluation, and Molecular Docking Insights

Tavga Ahmed Aziz, Narmin Hamaamin Hussen, Hozan Jaza Hama Salh
article en

Abstract

The global rise in antibiotic resistance demands the urgent development of new antibacterial agents. This study investigated the antibacterial potential of four synthesized methoxy and thiophene chalcone derivatives (designated 3a, 4a, 3b, and 4b) against clinically relevant bacterial pathogens. These compounds were prepared through Claisen-Schmidt condensation, while their chemical structures were verified through applying Fourier-transform infrared, mass spectrometry, <sup>1</sup>H nuclear magnetic resonance (NMR), and <sup>13</sup>C NMR. Their antibacterial activity was tested in vitro, employing minimum inhibitory concentration (MIC) and well diffusion assays. Among these synthesized compounds, 3a demonstrated the strongest antibacterial efficacy, showing notable inhibition zones and low MIC values against S. aureus and E. coli, suggesting an increased effectiveness against Gram-negative strains. Molecular docking studies targeting Penicillin-Binding Protein 4 from S. aureus indicated robust binding affinities, with 3a and 4a exhibiting interactions comparable to or even exceeding ampicillin. Additionally, computational Absorption, Distribution, Metabolism, Excretion, and Toxicity analysis confirmed promising pharmacokinetics, such as adherence with Lipinski's Rule of Five, high gastrointestinal absorption, and low toxicity profiles. These insights emphasize a great potential in the synthesized derivatives for further advancement in addressing multidrug-resistant bacterial infections, and potentially expanding the range of effective antibacterial drugs.

Chemistry & BiodiversityVol. 22(12)
University of Sulaimani (IQ)
University of Sulaimani
Openalex Percentile: Top 75%
Computational Drug Discovery Methods
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