In Silico Evaluation of Potential NDM-1 Inhibitors: An Integrated Docking and Molecular Dynamics Approach
2024

Evaluating Potential Inhibitors for NDM-1 Enzyme

publication Evidence: moderate

Author Information

Author(s): Valencia Eduvan, Galvis Mauricio, Nisperuza Jorge, Ballesteros Vladimir, Mesa Fredy

Primary Institution: Fundación Universitaria Los Libertadores

Hypothesis

Can computational methods identify effective inhibitors against the NDM-1 enzyme?

Conclusion

The study suggests that the M26, M37, and M35 ligands have significant potential as leading candidates in the development of new NDM-1 inhibitors.

Supporting Evidence

  • M26 showed the lowest binding energy of -13.23 kcal/mol.
  • Molecular dynamics simulations indicated that the NDM-1-M26 complex showed conformational stability.
  • The study identified 22 compounds with the best oral bioavailability values and low toxicity.
  • Hydrogen bonds formed between M26 and the enzyme contributed to its stability.
  • AutoDockZn improved the representation of metal-ligand interactions.

Takeaway

Scientists used computer simulations to find new medicines that can stop a harmful enzyme called NDM-1 from making bacteria resistant to antibiotics.

Methodology

Molecular docking and molecular dynamics simulations were performed to identify effective inhibitors against the NDM-1 enzyme.

Limitations

The study's predictions need to be validated with in vitro biological assays.

Digital Object Identifier (DOI)

10.3390/ph17121715

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