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Fragment-Based flexible ligand docking by evolutionary optimization.

N Budin1, N Majeux, A Caflisch

  • 1Department of Biochemistry, University of Zürich, Switzerland.

Biological Chemistry
|November 2, 2001
PubMed
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This study introduces a novel computational method for docking flexible molecules into proteins. The approach efficiently predicts binding modes by optimizing ligand fragments, successfully docking inhibitors into thrombin and HIV-1 protease.

Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Drug discovery

Background:

  • Protein-ligand docking is crucial for drug discovery.
  • Accurate prediction of binding poses for flexible ligands remains challenging.

Purpose of the Study:

  • To develop an efficient computational approach for docking flexible ligands into rigid protein targets.
  • To improve the accuracy of molecular docking predictions.

Main Methods:

  • A genetic algorithm was employed to explore ligand conformational space.
  • A scoring function approximating steric effects and hydrogen bonds was utilized.
  • Ligand fragments were optimized for fit within the protein binding site.

Main Results:

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  • The method successfully docked known inhibitors with multiple rotatable bonds.
  • The approach was validated on both uncomplexed and complexed conformations of thrombin and HIV-1 protease.
  • Exploitation of functional group binding modes enhanced docking efficiency.

    • Conclusions:

    • The presented computational approach offers an efficient strategy for flexible ligand docking.
    • This method can aid in the identification of novel drug candidates.
    • Accurate prediction of binding modes is essential for effective molecular docking.