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Docking of hydrophobic ligands with interaction-based matching algorithms
M Rarey1, B Kramer, T Lengauer
1German National Research Center for Information Technology (GMD), Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, 53754 Sankt Augustin, Germany. Rarey@gmd.de
Bioinformatics (Oxford, England)
|May 1, 1999
Summary
This study enhances the FlexX docking software by introducing a multi-level interaction model to improve the placement of hydrophobic fragments. This advancement increases successful docking rates for protein-ligand complexes.
Area of Science:
- Computational chemistry
- Molecular modeling
- Drug design
Background:
- Traditional docking algorithms struggle with hydrophobic fragments.
- Hydrogen bonds and salt bridges are reliable interaction points for current algorithms.
- Hydrophobic interactions are crucial for accurate molecular docking.
Purpose of the Study:
- To extend the FlexX docking tool's capabilities for handling hydrophobic fragments.
- To improve the efficiency and accuracy of molecular docking algorithms.
- To introduce a multi-level interaction model for fragment placement.
Main Methods:
- Extension of interaction models and placement algorithms in FlexX.
- Introduction of a multi-level interaction concept for base fragment selection and placement.
- Testing the enhanced model on 200 protein-ligand complexes from the Protein Data Bank (PDB).
Main Results:
- Improved overall performance of the FlexX docking tool.
- Increased successful docking cases within 1.5 A RMSD from 58% to 64%.
- Average computation time increased from 73 to 91 seconds per complex.
Conclusions:
- The multi-level interaction model significantly enhances FlexX's ability to dock hydrophobic fragments.
- The updated algorithm improves docking accuracy at a modest increase in computation time.
- FlexX with the new model offers improved performance for computer-aided drug design.