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Updated: May 14, 2026
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Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
Published on: September 17, 2017
Chemical shifts in biomolecules
1Department of Chemistry & Chemical Biology and BioMaPS Institute, Rutgers University, Piscataway, NJ 08854, USA. case@biomaps.rutgers.edu
Current Opinion in Structural Biology
|February 21, 2013
Summary
Nuclear Magnetic Resonance (NMR) chemical shifts offer insights into protein structure and dynamics. New computational methods enhance NMR structure determination and reveal protein conformational dynamics.
Area of Science:
- Biophysics
- Structural Biology
- Computational Chemistry
Background:
- Nuclear Magnetic Resonance (NMR) chemical shifts are crucial for understanding protein structure and dynamics.
- Empirical models and quantum chemical calculations are computational approaches used to predict NMR chemical shifts.
Purpose of the Study:
- To explore the application of computational methods for predicting NMR chemical shifts in proteins.
- To investigate how these methods advance NMR structure determination and protein dynamics analysis.
Main Methods:
- Utilizing empirical models based on large databases of measured NMR chemical shifts.
- Employing quantum chemical calculations for predicting NMR chemical shifts.
- Analyzing protein structures and conformational dynamics.
Main Results:
- Empirical models provide increasingly accurate NMR shift estimates from input structures.
- Quantum chemical calculations offer greater generality but currently lower accuracy.
- These computational approaches are enhancing NMR structure determination.
Conclusions:
- Computational methods, including empirical models and quantum chemistry, are vital tools for protein NMR studies.
- These techniques provide new avenues for protein structure determination and insights into conformational dynamics.
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