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Related Experiment Videos

Soft docking and multiple receptor conformations in virtual screening.

Anna Maria Ferrari1, Binqing Q Wei, Luca Costantino

  • 1Department of Pharmaceutical Chemistry, University of California-San Francisco, Genentech Hall, 600 16th Street, San Francisico, CA 94143-2240, USA.

Journal of Medicinal Chemistry
|October 1, 2004
PubMed
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Accounting for protein flexibility in ligand docking is crucial. Using multiple receptor conformations with a "hard" potential improved ligand identification compared to a "soft" potential, especially for large conformational changes.

Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Protein conformational changes significantly impact ligand docking accuracy.
  • Predicting these changes is challenging, necessitating flexible docking approaches.
  • Existing methods include softening steric criteria or sampling multiple receptor states.

Purpose of the Study:

  • To compare the efficacy of "soft" docking (attenuated Lennard-Jones potential) versus multi-conformation docking (standard Lennard-Jones potential) for identifying known ligands.
  • To evaluate these methods across systems with varying degrees of protein conformational change, including T4 lysozyme and aldose reductase.
  • To assess the predictive power of multi-conformation docking for novel ligand discovery.

Main Methods:

Related Experiment Videos

  • Developed a "soft" scoring function by modifying the Lennard-Jones potential's repulsive term.
  • Performed virtual screening of the Available Chemicals Directory (ACD) against T4 lysozyme and aldose reductase.
  • Compared scoring performance using single vs. multiple receptor conformations against known ligands and decoys.

    • Main Results:

    • The "soft" potential outperformed the "hard" potential in single-conformation docking.
    • Conversely, the "hard" potential with multiple conformations was superior for identifying known ligands, particularly for aldose reductase.
    • Predictive screening identified four novel aldose reductase inhibitors from six tested compounds.

    Conclusions:

    • Multi-conformation docking, using a standard "hard" potential, is more effective than "soft" docking for identifying true ligands, especially when significant protein flexibility is involved.
    • While "soft" docking may improve scores for both ligands and decoys, it can reduce the identification of genuine leads.
    • Multi-conformation docking offers a more robust strategy for predictive virtual screening and novel drug discovery.