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Designing matrix models for fluorescence energy transfer between moving donors and acceptors
B W van der Meer1, M A Raymer, S L Wagoner
1Department of Physics and Astronomy, Western Kentucky University, Bowling Green 42101.
Biophysical Journal
|April 1, 1993
Summary
This study presents a model for systems with simultaneous fluorescence energy transfer and motion. The findings reveal that fluorescence studies can distinguish between discrete state transitions (jumping) and continuous diffusion in molecular dynamics.
Area of Science:
- Photophysics and Molecular Dynamics
- Theoretical Chemistry
- Biophysical Modeling
Background:
- Donor-acceptor systems often exhibit coupled fluorescence energy transfer (FRET) and molecular motion.
- Accurate modeling requires accounting for both FRET and dynamics without simplifying assumptions.
- Distinguishing between discrete (jumping) and continuous (diffusion) motion is crucial for understanding system dynamics.
Purpose of the Study:
- To develop a theoretical modeling framework for systems with simultaneous FRET and motion.
- To apply the framework to model donor-acceptor systems with rotational and translational dynamics.
- To analyze time-resolved FRET data without restrictive assumptions on motional averaging and orientation.
Main Methods:
- A state-transition model was developed, defining system states by coordinates and conditions.
- Rates of transition between states were used to describe system evolution over time.
- Fluorescence intensities and anisotropies were calculated by solving eigensystems for example systems.
Main Results:
- The model successfully simulates FRET and motion in various donor-acceptor systems.
- Calculated fluorescence quantities depend on the size of motional steps only when FRET occurs.
- The dependence of fluorescence on motional step size differentiates between jumping and diffusion dynamics.
Conclusions:
- The proposed method provides a versatile approach for analyzing time-resolved FRET data.
- FRET studies can elucidate the nature of molecular dynamics, distinguishing discrete jumps from diffusion.
- This framework aids in understanding the dynamics of complex systems like proteins.