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Related Experiment Videos

Efficacy and selectivity in flexible database docking.

R M Knegtel1, M Wagener

  • 1Department of Molecular Design and Informatics, N.V. Organon, Oss, The Netherlands. ronald.knegtel@vpharm.com

Proteins
|December 11, 1999
PubMed
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Flexible database docking effectively prioritizes screening libraries by reducing conformational sampling. However, accurately distinguishing between similar active and inactive compounds remains a challenge for DOCK 4.0.

Area of Science:

  • Computational Chemistry
  • Drug Discovery
  • Molecular Modeling

Background:

  • High-throughput screening (HTS) requires efficient methods to prioritize large compound libraries.
  • Flexible database docking offers a computational approach to identify potential drug candidates.
  • DOCK 4.0 is a widely used software for molecular docking simulations.

Purpose of the Study:

  • To evaluate the efficacy of flexible database docking using DOCK 4.0 for retrieving biologically active molecules.
  • To assess the impact of conformational and orientational sampling on retrieval accuracy.
  • To compare the performance of energy and chemical scoring functions in DOCK 4.0.

Main Methods:

  • Flexible docking simulations were performed using DOCK 4.0 against thrombin and progesterone receptor targets.

Related Experiment Videos

  • A database of approximately 1,000 compounds with known activities was used.
  • Enrichment of active molecules within the top-ranked docking poses was analyzed as a function of sampling parameters.
  • Energy and chemical scoring methods were evaluated for their discriminatory power.
  • Main Results:

    • Optimal enrichment of active molecules was achieved with limited conformational sampling (five conformations) and restricted binding site sampling.
    • Energy scoring showed higher enrichment for the progesterone receptor (64%), while chemical scoring excelled for thrombin (94%).
    • Both scoring schemes struggled to differentiate between active compounds and chemically similar inactive molecules, except for energy scoring on the progesterone receptor.

    Conclusions:

    • Flexible docking with DOCK 4.0 can effectively prioritize large screening databases with reduced computational cost.
    • The choice of scoring function is protein-dependent, influencing the success of virtual screening.
    • Discriminating between closely related active and inactive compounds remains a significant challenge in current docking methodologies.