Virtual screening using structure-based consensus pharmacophore models and ensemble docking based on MD-generated conformations
2011

Virtual Screening for New Drug Targets in Trypanosoma and Leishmania

publication Evidence: moderate

Author Information

Author(s): Koch Oliver, Cappel Daniel, Nocker Monika, Jaeger Timo, Flohé Leopold, Sotriffer Christoph, Selzer Paul

Primary Institution: Intervet Innovation GmbH

Hypothesis

Can virtual screening using MD-generated conformations improve the identification of drug candidates targeting trypanothione synthetase?

Conclusion

The study successfully identified several high-scoring molecules for further testing as potential drug candidates.

Supporting Evidence

  • The trypanothione synthetase is a promising target for new drugs against neglected diseases.
  • MD simulations provided a better understanding of the protein's structure for drug design.
  • Multiple conformations of the protein were considered to improve the accuracy of virtual screening.

Takeaway

Researchers used computer simulations to find new drugs that can help fight diseases caused by certain parasites.

Methodology

The study employed molecular dynamics simulations to model protein conformations and used a pharmacophore model combined with ensemble docking for virtual screening.

Limitations

The pharmacophore model could not depict the variable loop region of the protein.

Digital Object Identifier (DOI)

10.1186/1758-2946-3-S1-O23

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