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Updated: May 26, 2026

NMR 15N Relaxation Experiments for the Investigation of Picosecond to Nanoseconds Structural Dynamics of Proteins
Published on: November 1, 2024
Microsecond time-scale conformational exchange in proteins: using long molecular dynamics trajectory to simulate NMR
Yi Xue1, Joshua M Ward, Tairan Yuwen
1Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907-2084, USA.
Ultra-long molecular dynamics (MD) simulations reveal protein dynamics and exchange broadening effects. This study simulates protein BPTI, identifying fast disulfide bond isomerization as the cause of NMR relaxation dispersion signals.
Area of Science:
- Biophysics
- Computational Chemistry
- Structural Biology
Background:
- Ultra-long molecular dynamics (MD) simulations enable modeling of microsecond protein dynamics.
- NMR relaxation dispersion measurements probe exchange broadening effects (R(ex)).
- Identifying exchanging species and complex exchange networks is crucial for understanding protein dynamics.
Purpose of the Study:
- To simulate protein dynamics and predict NMR relaxation dispersion measurements using MD.
- To investigate the source of exchange broadening in protein BPTI.
- To validate the utility of long MD simulations for studying protein dynamics.
Main Methods:
- Utilized a millisecond-long MD trajectory of protein BPTI.
- Simulated the time variation of amide (15)N chemical shifts.
- Predicted (15)N line exchange broadening and relaxation dispersion outcomes.
Main Results:
- Simulated exchange broadening effects consistent with experimental findings.
- Identified fast (~10-100 μs) isomerization of the C14-C38 disulfide bond as the cause of R(ex).
- Demonstrated the capability of MD simulations to predict NMR relaxation dispersion measurements.
Conclusions:
- Long MD simulations are powerful tools for studying protein dynamics and NMR relaxation dispersion.
- Disulfide bond isomerization is a key dynamic process influencing NMR observables.
- This approach aids in identifying excited states and mapping complex exchange networks.
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