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Related Experiment Videos

Modeling water molecules in protein-ligand docking using GOLD.

Marcel L Verdonk1, Gianni Chessari, Jason C Cole

  • 1Astex Therapeutics Ltd, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, UK. m.verdonk@astex-therapeutics.com

Journal of Medicinal Chemistry
|September 30, 2005
PubMed
Summary

This study introduces a new method to accurately predict water molecule roles in protein-ligand docking using the GOLD program. The approach enhances binding mode predictions by scoring water mediation and displacement effectively.

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Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Water molecules play a crucial role in protein-ligand interactions, influencing binding affinity and specificity.
  • Accurately modeling water mediation and displacement is essential for reliable protein-ligand docking.
  • Existing docking programs often struggle to adequately account for the dynamic behavior of water molecules.

Purpose of the Study:

  • To develop and validate a novel method for scoring water mediation and displacement within the GOLD protein-ligand docking program.
  • To improve the accuracy of predicting binding modes by incorporating a dynamic water scoring system.
  • To assess the performance of the new method on independent training and test datasets.

Main Methods:

  • Implemented a scoring approach allowing water molecules to dynamically switch on/off and rotate.

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  • Introduced a constant penalty (sigma(p)) for switched-on water molecules, representing rigid-body entropy loss and rewarding displacement.
  • Optimized sigma(p) using a training set of 58 protein-ligand complexes.
  • Validated the methodology on an independent test set of 225 protein-ligand complexes.

    • Main Results:

    • The algorithm correctly predicted water mediation/displacement in approximately 92% of cases on the training set.
    • Small improvements in predicted binding mode quality were observed for water-mediated complexes in the training set.
    • The method achieved approximately 93% accuracy in predicting water mediation/displacement on the independent test set.
    • Binding mode quality improvements were noted for individual water-mediated complexes in the test set.

    Conclusions:

    • The novel water scoring method significantly improves the prediction of water mediation and displacement in protein-ligand docking.
    • The approach enhances the accuracy of binding mode predictions, particularly for complexes involving water molecules.
    • This methodology offers a valuable tool for drug discovery and structural biology research by refining docking simulations.