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Updated: Jun 26, 2026

Single-Molecule Measurement of Protein Interaction Dynamics Within Biomolecular Condensates
Published on: January 5, 2024
Kinetics and statistical distributions of single-molecule conformational dynamics
1Department of Chemistry, Physics and Applied Mathematics, State University of New York at Stony Brook, Stony Brook, New York 11790, USA.
We modeled adenylate kinase protein dynamics, revealing two conformational states (open and closed) connected by distinct pathways. Kinetic analysis showed non-exponential behavior and memory effects, consistent with experimental observations.
Area of Science:
- Biophysics
- Computational Biology
- Protein Dynamics
Background:
- Understanding protein conformational dynamics is crucial for molecular biology.
- Single-molecule experiments provide detailed insights into these dynamics.
Purpose of the Study:
- To develop a detailed model for studying protein conformational dynamics.
- To investigate the energy landscape and kinetic pathways of adenylate kinase.
Main Methods:
- Developed a coarse-grained yet microscopically detailed model.
- Analyzed statistical fluctuations and conformational energy landscape.
- Studied kinetic pathways and their distributions.
Main Results:
- Identified two distinct conformational basins (open and closed) for adenylate kinase.
- Observed non-exponential kinetics, aligning with experimental data.
- Found a power-law tail in kinetic time distribution and memory effects in pathway dynamics.
Conclusions:
- The model accurately captures single-molecule protein conformational dynamics.
- The energy landscape features distinct pathways influencing kinetic behavior.
- Non-exponential kinetics and memory effects are key characteristics of adenylate kinase conformational transitions.
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