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Population shuffling between ground and high energy excited states
T Michael Sabo1, John O Trent1, Donghan Lee1,2
1Department of Medicine, James Graham Brown Cancer Center, University of Louisville, Louisville, Kentucky, 40202.
This study extends population shuffling to analyze protein dynamics in excited states, revealing how fast side-chain movements influence slow conformational changes in SH3 domains. This provides new insights into protein functionality and structural dynamics.
Area of Science:
- Biophysics
- Structural Biology
- Protein Dynamics
Background:
- Proteins utilize thermal energy-driven dynamics across various timescales for essential functions like catalysis and allostery.
- A hierarchy of motion is proposed to link fast and slow protein dynamics.
- Population shuffling, a model for temporal hierarchy, was previously limited to ground-state interconversions.
Purpose of the Study:
- To extend the population shuffling framework to systems interconverting between ground and excited states.
- To investigate the role of high-energy excited states in protein dynamics.
- To analyze the structural dynamics of SH3 domain mutants.
Main Methods:
- Application of the population shuffling model to systems involving excited states.
- Utilizing SH3 domain mutants (G48M and A39V/N53P/V55L) from Fyn tyrosine kinase.
- Performing unrestrained molecular dynamics (MD) simulations.
Main Results:
- The gauche-rotameric state of the leucine χ2 dihedral angle significantly impacts rotameric state distributions in both major and minor SH3 domain forms.
- High correlations were observed between experimental and back-calculated leucine χ2 rotameric populations from MD simulations.
- Fast timescale rotameric side-chain population distributions were successfully extracted from slow timescale conformational exchange data.
Conclusions:
- The extended population shuffling model provides a new tool for studying the structural dynamics of high-energy excited states.
- This work demonstrates the significant contribution of specific rotameric states to overall protein dynamics.
- The findings highlight the interplay between fast side-chain dynamics and slow conformational exchange in proteins.
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