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Updated: Jun 8, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Computer-aided drug-discovery techniques that account for receptor flexibility
Jacob D Durrant1, J Andrew McCammon
1Department of Chemistry & Biochemistry, University of California San Diego, La Jolla, CA 92093, USA. jdurrant@ucsd.edu
Protein flexibility is crucial for how drugs bind to target sites. This review covers computational methods used in drug design to analyze this flexibility, from local to global protein movements.
Area of Science:
- Biochemistry
- Computational Chemistry
- Pharmacology
Background:
- Protein flexibility significantly influences ligand interactions at both orthosteric and allosteric binding sites.
- Understanding and modeling protein flexibility is essential for accurate drug design.
Purpose of the Study:
- To review computational drug design techniques that incorporate protein flexibility.
- To cover methods analyzing local and general protein flexibility.
Main Methods:
- Review of existing computer-aided drug design (CADD) methodologies.
- Categorization of methods based on the scope of protein flexibility considered (local vs. general).
Main Results:
- Identified a spectrum of CADD techniques for modeling protein flexibility.
- Highlighted methods focusing on receptor regions near the binding site.
- Included methods assessing flexibility across all protein domains.
Conclusions:
- Computational approaches to protein flexibility are vital for effective drug discovery.
- The choice of method depends on the specific requirements of the drug design task.
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