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The Equilibrium Binding Constant and Binding Strength

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A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
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Evaluation of different virtual screening programs for docking in a charged binding pocket.

Wei Deng1, Christophe L M J Verlinde

  • 1Department of Biochemistry, University of Washington, Seattle, WA 98195-7742, USA.

Journal of Chemical Information and Modeling
|September 30, 2008
PubMed
Summary
This summary is machine-generated.

Virtual screening accurately predicts molecule poses but struggles with binding energy ranking. This study evaluates docking programs and scoring functions using cytochrome c peroxidase (CCP) to improve virtual screening accuracy.

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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Structural biology

Background:

  • Virtual screening is crucial for identifying drug candidates but faces challenges in accurately ranking binding affinities.
  • Accurate prediction of binding energy is essential to minimize false positives and negatives in drug discovery pipelines.
  • Cytochrome c peroxidase (CCP) presents a unique, small, negatively charged, and buried cavity suitable for evaluating docking performance.

Purpose of the Study:

  • To assess the performance of three docking programs (FRED, QXP/FLO, GLIDE) and five scoring functions.
  • To evaluate their effectiveness in ranking small molecules based on binding affinity to the CCP engineered cavity.
  • To investigate factors influencing docking accuracy, such as ligand tautomers and water molecules.

Main Methods:

  • Utilized three docking programs: FRED, QXP/FLO, and GLIDE.
  • Employed five distinct scoring functions for binding energy evaluation.
  • Tested a set of 60 molecules (43 binders, 17 non-binders) against the CCP binding site.
  • Quantified performance using ROC curves and crystal pose reproduction.

Main Results:

  • Docking programs and scoring functions showed varied performance in ranking binders versus non-binders.
  • Crystal pose reproduction was assessed to validate docking accuracy.
  • The influence of ligand tautomerization and the role of water molecules in the binding cavity were analyzed.

Conclusions:

  • No single docking program or scoring function consistently outperformed others for this specific CCP cavity.
  • Improving binding energy prediction remains a critical challenge in virtual screening.
  • Further research is needed to refine docking methodologies for enhanced accuracy in drug discovery.