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Related Experiment Videos

Flexible ligand docking using conformational ensembles

D M Lorber1, B K Shoichet

  • 1Department of Molecular Pharmacology and Biological Chemistry, Northwestern University Medical School, Chicago, Illinois 60611-3008, USA.

Protein Science : a Publication of the Protein Society
|May 6, 1998
PubMed
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This study introduces a faster molecular docking method by docking ligand ensembles, not single conformations. This approach significantly speeds up drug discovery by efficiently screening millions of molecular structures.

Area of Science:

  • Computational Chemistry
  • Structural Biology
  • Drug Discovery

Background:

  • Molecular docking is crucial for modeling biological functions and identifying potential drug ligands.
  • A key limitation in current docking algorithms is the accurate handling of molecular flexibility.
  • Existing methods often struggle to efficiently incorporate the dynamic nature of molecules during docking simulations.

Purpose of the Study:

  • To enhance molecular docking by developing a method that rapidly fits multiple ligand conformations simultaneously.
  • To improve the efficiency and accuracy of identifying potential drug candidates by accounting for molecular flexibility.
  • To accelerate the drug discovery process through a more effective ligand docking strategy.

Main Methods:

  • Modified the DOCK rigid body program to enable rapid fitting of multiple ligand conformations as an ensemble.

Related Experiment Videos

  • Pre-calculated ligand conformations in a common reference frame, sharing a rigid fragment for efficient ensemble docking.
  • Tested the ligand ensemble docking method on organic ligand-protein and protein-protein systems, using both bound and unbound receptor conformations.
  • Main Results:

    • The ligand ensemble method successfully identified ligand conformations similar to those found in X-ray crystal structures (RMS values typically < 1.5 Å).
    • Screening of known inhibitor databases for dihydrofolate reductase and thymidylate synthase identified known inhibitors and substrates in experimentally relevant conformations.
    • Achieved a 100-fold increase in speed compared to single-conformation docking, enabling the screening of over 34 million conformations in 1-4 CPU days.

    Conclusions:

    • The ligand ensemble docking method effectively models molecular flexibility and accelerates the identification of potential drug candidates.
    • This approach offers a significant speed improvement for virtual screening, making it practical for large-scale database analysis.
    • The method demonstrates utility in both structure-based drug design and the discovery of novel inhibitors.