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Atomistic kinetic model for population shift and allostery in biomolecules
Dong Long1, Rafael Brüschweiler
1Department of Chemistry and Biochemistry and National High Magnetic Field Laboratory, Florida State University, Tallahassee, Florida 32306, USA.
Journal of the American Chemical Society
|October 26, 2011
Summary
We developed a new computational model to understand how signals move through proteins. This method accurately predicts protein dynamics and allosteric pathways.
Area of Science:
- Biophysics
- Computational Biology
- Structural Biology
Background:
- Allosteric signaling is crucial for cellular functions, involving signal transmission through biomolecules.
- Understanding protein allostery requires detailed models of structural dynamics.
Purpose of the Study:
- To introduce a general and accurate model for protein allostery at atomic detail.
- To quantitatively explain and predict the structural-dynamics properties of allosteric signal propagation.
Main Methods:
- Developed the Master Equation-based Approach for Allostery by Population Shift (MAPS).
- MAPS derives signal transmission timescales, amplitudes, and pathways from molecular dynamics simulations.
- Validated MAPS using alanine-pentapeptide and a millisecond BPTI trajectory.
Main Results:
- MAPS accurately predicts allosteric signal propagation in peptides and proteins.
- The model's validity was confirmed against explicit simulations with conformational constraints.
- Demonstrated in silico signal propagation across a disulfide bridge in BPTI.
Conclusions:
- MAPS provides a powerful tool for studying protein allostery and signal transmission.
- The model can predict medium- to long-range allosteric effects in complex protein systems.
- This work advances the understanding of fundamental cellular signaling mechanisms.
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