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Related Experiment Videos

A fast surface-matching procedure for protein-ligand docking.

Michel E B Yamagishi1, Natália F Martins, Goran Neshich

  • 1Embrapa Informática Agropecuária, Caixa Postal 6041, Av. Dr. André Tosello, no 209, Barão Geraldo-Campinas, (SP)-CEP 13083-886, Brazil. michel@cbi.cnptia.embrapa.br

Journal of Molecular Modeling
|May 5, 2006
PubMed
Summary

A novel surface-complementarity filter offers a faster and more effective method for preliminary protein-ligand docking in virtual screening. This approach successfully identifies correct ligand conformations, outperforming traditional docking algorithms.

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Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • High-throughput virtual screening (HTVS) is crucial for drug discovery.
  • Accurate protein-ligand docking is essential for HTVS.
  • Existing docking methods can be computationally intensive.

Purpose of the Study:

  • To develop a simple, fast, and efficient scheme for preliminary protein-ligand docking.
  • To create a surface-complementarity filter for virtual screening.
  • To assess the method's performance against established docking algorithms.

Main Methods:

  • Calculating 2D-contour maps of protein cavities and ligands using spherical harmonics.
  • Comparing 2D-fingerprint images to assess surface complementarity.

Related Experiment Videos

  • Testing the scheme on well-closed, small open, and large open protein pockets with 101 ligand conformers each.

    • Main Results:

    • The proposed method demonstrated significantly higher speed and success rates in identifying correct X-ray ligand conformations compared to FRED and GOLD.
    • The scheme effectively handled multiple ligand conformers and protein cavity types.
    • A minor limitation was observed with very large protein pockets.

    Conclusions:

    • The developed surface-complementarity filter provides a rapid and efficient preliminary docking step for virtual screening.
    • The method indirectly incorporates flexibility by handling multiple protein and ligand conformations.
    • This approach shows promise for enhancing the efficiency of drug discovery pipelines.