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Related Experiment Videos

Considerations in compound database preparation--"hidden" impact on virtual screening results.

Andrew J S Knox1, Mary J Meegan, Giorgio Carta

  • 1School of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin, Dublin 2, Ireland.

Journal of Chemical Information and Modeling
|November 29, 2005
PubMed
Summary

Optimizing structure-based virtual screening (SBVS) requires careful ligand database preprocessing. Cheminformatic treatments, including protonation and conformation generation, significantly impact screening enrichment rates for drug discovery.

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Area of Science:

  • Computational Chemistry
  • Drug Discovery
  • Cheminformatics

Background:

  • Structure-based virtual screening (SBVS) is crucial in drug discovery.
  • In silico validation of screening protocols is essential for success.
  • Ligand database preprocessing impact on SBVS is under-examined.

Purpose of the Study:

  • To investigate the implications of cheminformatic preprocessing on SBVS.
  • To evaluate the effect of ligand states (protonation, tautomers, stereochemistry, conformations) on screening.
  • To assess the impact of preprocessing on enrichment rates and computational costs.

Main Methods:

  • Enumerated multiple states for a validation compound database.
  • Generated ligand conformations and ensembles using common methods.

Related Experiment Videos

  • Performed rigid-body docking to the human estrogen receptor alpha.
  • Utilized Chemgauss and PLP for consensus scoring.
  • Calculated enrichment rates and considered CPU/disk usage.

    • Main Results:

    • SBVS enrichment is highly dependent on initial cheminformatic treatments.
    • SMILES representation, stereochemistry, protonation, and conformation ensembles critically affect enrichment.
    • Preprocessing choices influence the effectiveness of virtual screening.

    Conclusions:

    • Ligand database preprocessing is a critical factor in SBVS success.
    • Optimized cheminformatic strategies are necessary for high enrichment rates.
    • Further research into preprocessing methods can enhance drug discovery pipelines.