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Updated: Jun 15, 2026
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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
Ensemble docking into multiple crystallographically derived protein structures: an evaluation based on the
Ian R Craig1, Jonathan W Essex, Katrin Spiegel
1Novartis Institutes for Biomedical Research, Wimblehurst Road, Horsham, West Sussex RH12 5AB, UK. ian.craig@novartis.com
Journal of Chemical Information and Modeling
|March 13, 2010
Summary
Ensemble docking can improve virtual screening enrichment compared to single structures. However, predicting successful ensembles is challenging, though induced-fit docking offers a promising approach.
Area of Science:
- Computational chemistry
- Structural bioinformatics
- Drug discovery
Background:
- Receptor flexibility is crucial for accurate virtual screening.
- Ensemble docking aims to improve enrichment by considering multiple receptor conformations.
Purpose of the Study:
- To quantitatively assess the effectiveness of ensemble docking in virtual screening.
- To investigate methods for constructing effective receptor conformational ensembles.
Main Methods:
- Statistical analysis of docking results using crystallographically derived ensembles.
- Comparison of ensemble docking enrichment against individual receptor structures.
- Evaluation of induced-fit docking for ensemble generation.
Main Results:
- Ensemble docking sometimes yields higher enrichment than individual receptor structures.
- Successful ensembles were not easily predictable from structural information alone.
- Ensemble enrichment often surpassed the average enrichment of its constituent structures.
- Induced-fit docking demonstrated reliability in creating high-enrichment ensembles.
Conclusions:
- Ensemble docking can enhance virtual screening but predicting success prospectively remains difficult.
- Induced-fit docking provides a viable strategy for constructing ensembles with improved screening performance.
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