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Volume 21, Issue 2
  • ISSN: 1573-4099
  • E-ISSN: 1875-6697

Abstract

Background

species have emerged as well-known opportunistic pathogens causing nosocomial infections with β-lactamase-mediated resistance as a prevalent antibiotic resistance mechanism. The discovery and emergence of metallo-β-lactamases, mainly new-Delhi metallo-β-lactamases (NDMs), have increased the threat and challenges in healthcare facilities.

Objectives

A computational screening was conducted using 570 natural compounds from Dr. Duke’s Phytochemical and Ethnobotanical data to discover promising inhibitors for NDM-6, NDM-9, and NDM-23 of the species.

Methods

Using homology modeling on the Raptor-X web server, the structures of the three NDM variants were predicted. The structures were validated using various computational tools and MD simulation for 50 ns. Lipinski - Vebers’ Filter and ADMET Screening were used to screen 570 compounds, followed by docking in Biovia Discovery Studio 2019 using the CDOCKER module. GROMACS was used to simulate the compounds with the highest scores with the proteins for 50 ns. Using the MM-PBSA method and tool, binding free energies were estimated and per-residue decomposition analysis was conducted.

Results

The three structures predicted were found stable after the 50 ns MD Simulation run. The compounds Budmunchiamine-A and Rhamnocitrin were found to have the best binding energy towards NDM-6, NDM-9, and NDM-23, respectively. From the results of MD Simulation, MM-PBSA binding free energy calculations, and per-residue decomposition analysis, the Protein-ligand complex of NDM-6 with Budmunchiamine A and NDM-9 with Rhamnocitrin was relatively more stable than the complex of NDM-23 and Rhamnocitrin.

Conclusion

The study suggests that Budmunchiamine-A and Rhamnocitrin are potential inhibitors of NDM-6 and NDM-9, respectively, and may pave a path for and studies in the future.

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2025-05-09

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Identification of Potential Inhibitors of Three NDM Variants of Klebsiella Species from Natural Compounds: A Molecular Docking, Molecular Dynamics Simulation and MM-PBSA Study
Curr. Computeraided Drug Des. 21, 142 (2025); https://doi.org/10.2174/0115734099294294240311061115
/content/journals/cad/10.2174/0115734099294294240311061115
/content/journals/cad/10.2174/0115734099294294240311061115
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  • Article Type:     Research Article
Keyword(s): CDOCKER; Klebsiella; MD simulation; MM-PBSA; NDM variants; potential inhibitors

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