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Updated: Jun 3, 2026

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Visualizing the Conformational Dynamics of Membrane Receptors Using Single-Molecule FRET
Published on: August 17, 2022
Direct detection of structurally resolved dynamics in a multiconformation receptor-ligand complex
Mary J Carroll1, Anna V Gromova, Keith R Miller
1Division of Medicinal Chemistry and Natural Products, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Journal of the American Chemical Society
|April 8, 2011
Summary
Protein dynamics are crucial for drug design. This study reveals significant millisecond-scale motions in a receptor-ligand complex, providing a benchmark for future modeling and binding affinity predictions.
Area of Science:
- Biochemistry
- Structural Biology
- Drug Discovery
Background:
- Structure-based drug design traditionally uses static protein structures.
- Protein dynamics are increasingly recognized as critical for understanding receptor-ligand interactions but are poorly understood and modeled.
- Lack of experimental data on dynamic receptor-ligand complexes hinders progress.
Purpose of the Study:
- To provide high-resolution structural and dynamic details of a receptor-small molecule complex.
- To investigate the role of protein dynamics in drug binding.
- To establish a benchmark for modeling protein dynamics in drug design.
Main Methods:
- Nuclear Magnetic Resonance (NMR) spectroscopy, specifically Carr-Purcell-Meiboom-Gill relaxation dispersion experiments and NOEs.
- X-ray crystallography.
- Integrated analysis of NMR and X-ray data.
Main Results:
- Detailed characterization of ~1 ms timescale conformational dynamics in a receptor-ligand complex.
- Identified internal switching motions of the inhibitor as the driver of large conformational dynamics in Escherichia coli dihydrofolate reductase.
- The crystal structure was found to incorporate key features of a high-energy protein-ligand conformation.
Conclusions:
- Accurate, structure-resolved dynamics of protein-ligand complexes are achievable and essential.
- This work provides a valuable benchmark for computational modeling of dynamics and binding affinity prediction.
- Understanding protein dynamics is critical for advancing structure-based drug design.
