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Probing molecular docking in a charged model binding site.

Ruth Brenk1, Stefan W Vetter, Sarah E Boyce

  • 1University of California San Francisco, QB3 Building, Department of Pharmaceutical Chemistry, 1700 4th Street, San Francisco, CA 94143-2550, USA.

Journal of Molecular Biology
|February 24, 2006
PubMed
Summary
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Molecular docking studies in a buried, charged protein cavity revealed that electrostatic interactions and desolvation energy are key. Novel ligands were successfully identified, and binding site water molecules were found to improve scoring accuracy.

Area of Science:

  • Computational chemistry and structural biology
  • Molecular modeling and drug discovery

Background:

  • Investigating charge-charge interactions in molecular docking requires specialized models.
  • A buried, negatively charged cavity in cytochrome c peroxidase (CCP) was engineered as a model binding site.

Purpose of the Study:

  • To explore the balance between electrostatic energy and ligand desolvation energy in molecular docking.
  • To identify novel ligands and assess the accuracy of docking and energy methods in a challenging binding site.

Main Methods:

  • Docking of a 5300-molecule database into the engineered CCP cavity.
  • Retrospective testing with known ligands and decoys.
  • Prospective screening for novel ligands, followed by experimental binding tests and crystal structure determination.

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Main Results:

  • Docking successfully captured the balance between electrostatic interaction and desolvation energy.
  • 15 out of 16 high-scoring novel heterocyclic cations bound to the site; crystal structures confirmed predicted geometries.
  • Low-scoring ligands, including alkyl amino cations and neutral molecules (phenol, 3-fluorocatechol), also bound, revealing limitations in scoring functions, often due to bound water molecules mitigating desolvation penalties.

Conclusions:

  • The model binding site effectively evaluated molecular docking scoring functions.
  • Bound water molecules play a critical role in ligand binding and can improve docking predictions.
  • The study identified weaknesses in current scoring functions, guiding future improvements for more accurate molecular docking.