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Amide proton temperature coefficients as hydrogen bond indicators in proteins
1Laboratory of Protein Engineering, Institute of Biochemistry and Molecular Biology, University of Wrocław, Poland.
Journal of Biomolecular NMR
|January 5, 2002
Summary
Amide proton temperature coefficients accurately predict hydrogen bonds in proteins, with over 93% accuracy for specific ranges. This method offers a simple way to confirm hydrogen bond existence in NMR structures.
Area of Science:
- Biophysics
- Structural Biology
- Nuclear Magnetic Resonance (NMR) Spectroscopy
Background:
- Hydrogen bonds are crucial for protein structure and function.
- Amide proton temperature coefficients (deltasigmaHN/deltaT) are sensitive to the local environment.
Purpose of the Study:
- To investigate the correlation between amide proton temperature coefficients and hydrogen bonds.
- To establish the predictive power of deltasigmaHN/deltaT for hydrogen bond identification.
- To explore factors influencing deltasigmaHN/deltaT, including secondary structure and ring current effects.
Main Methods:
- Analysis of a dataset of 793 amides from 14 proteins.
- Correlation analysis between deltasigmaHN/deltaT values and hydrogen bond characteristics (length, secondary structure).
- Investigation of the influence of ring current effects and pH on temperature coefficients.
Main Results:
- High predictive value (>85%, >93%) of deltasigmaHN/deltaT for hydrogen bonds was observed.
- An inverse relationship was found between deltasigmaHN/deltaT and hydrogen bond length.
- Differences in deltasigmaHN/deltaT were noted between alpha-helices and beta-sheets, influenced by hydrogen bond lengths.
- Ring current effects significantly impact deltasigmaHN/deltaT for non-hydrogen bonded amides.
- Temperature coefficients are generally stable with pH, except during conformational changes.
Conclusions:
- Amide proton temperature coefficients provide a reliable and straightforward method for confirming hydrogen bonds in NMR-determined protein structures.
- The study quantifies the relationship between temperature coefficients, hydrogen bond length, and secondary structural elements.
- This approach enhances structural analysis and validation in NMR studies.