Simulating Freely Diffusing Single-Molecule FRET Data with Consideration of Protein Conformational Dynamics

Area of Science:

• Biophysics
• Computational Biology
• Biochemistry

Background:

• Single-molecule Förster resonance energy transfer (smFRET) is crucial for studying biomolecular conformational dynamics.
• Accurate simulation of smFRET data is vital for developing and validating analysis methods.

Purpose of the Study:

• To develop a framework for generating high-fidelity simulated smFRET data for flexible biomolecules.
• To enable the testing and refinement of smFRET data analysis techniques.

Main Methods:

• Utilized Langevin dynamics to model conformational flexibility and generate interdye distance distributions.
• Simulated freely diffusing smFRET timestamp data incorporating molecular diffusion and photon statistics.
• Integrated molecular dynamics (MD) simulations for enhanced realism in data generation.

Main Results:

• Successfully generated realistic smFRET timestamp data for conformationally flexible systems.
• Demonstrated the integration of conformational dynamics, diffusion, and photon statistics in simulations.
• Validated the developed module by comparing smFRET data analysis techniques.

Conclusions:

• The Langevin dynamics module provides a robust framework for simulating smFRET data from systems with known conformational heterogeneity.
• This approach facilitates the development of novel analysis techniques for flexible proteins and biomolecules.
• The framework supports the creation of more realistic simulated smFRET data for advanced research.