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Related Experiment Videos

In-silico screening using flexible ligand binding pockets: a molecular dynamics-based approach.

Dakshanamurthy Sivanesan1, Rajendram V Rajnarayanan, Jason Doherty

  • 1Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.

Journal of Computer-Aided Molecular Design
|September 16, 2005
PubMed
Summary

This study introduces a molecular dynamics (MD) based docking method for flexible ligand binding pockets (LBP) in drug discovery. The approach successfully identified 32 compounds binding better to the human estrogen receptor alpha (hERalpha) LBP than existing crystal structures.

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Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Drug discovery

Background:

  • In-silico screening of flexible ligands against flexible ligand binding pockets (LBP) is an emerging approach in structure-based drug discovery.
  • Understanding ligand-binding pocket flexibility is crucial for accurate virtual screening.

Purpose of the Study:

  • To investigate the influence of molecular dynamics (MD) simulations on high-throughput in-silico screening against flexible ligand binding pockets.
  • To develop and validate an MD-based docking approach for identifying potent drug candidates.

Main Methods:

  • Collected an ensemble of 51 energetically favorable structures of the human estrogen receptor alpha (hERalpha) ligand binding pocket (LBP) using 3 ns MD simulations.
  • Performed in-silico screening of 3500 endocrine disrupting compounds against the flexible LBP conformations.

Related Experiment Videos

  • Analyzed MD-generated structures to identify key residues contributing to pocket flexibility.

    • Main Results:

    • Screening identified 582 unique compounds binding to the hERalpha LBP.
    • Analysis revealed 17 LBP residues significantly contribute to binding pocket flexibility.
    • Identified 32 compounds that exhibit improved binding to flexible LBP conformations compared to the crystal structure.

    Conclusions:

    • The MD-based docking approach enhances the accuracy of in-silico screening against flexible ligand binding pockets.
    • The identified compounds, though chemically diverse, share structural similarities with the natural hormone.
    • This method, combined with distributed computing, offers a robust platform for routine in-silico screening of large compound databases.