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Chemical shift prediction for denatured proteins.

James H Prestegard¹, Sarata C Sahu, Wendy K Nkari

¹jpresteg@ccrc.uga.edu

Journal of Biomolecular NMR

|January 9, 2013

Summary

New parameters for chemical shift prediction in denatured proteins were developed using alanine-based pentapeptides. These improved predictions aid in assigning protein NMR spectra, particularly for sparsely labeled proteins.

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Area of Science:

Biophysics
Nuclear Magnetic Resonance (NMR) Spectroscopy
Protein Chemistry

Background:

Chemical shift prediction is crucial for protein NMR applications like secondary structure identification and protein structure determination.
Existing prediction methods often use empirical formulas based on limited pentapeptide datasets, which may not be optimal for denatured proteins.

Purpose of the Study:

To develop improved chemical shift prediction parameters for denatured proteins.
To facilitate alternate assignment strategies for crosspeaks in (1)H-(15)N HSQC spectra of sparsely labeled proteins.

Main Methods:

Collected (1)H and (15)N chemical shift data for alanine-based pentapeptides under low pH urea denaturing conditions.
Derived new empirical parameters for chemical shift prediction.
Developed a Perl script to facilitate comparison of parameter sets.

Main Results:

Reported (1)H and (15)N chemical shifts for a set of alanine-based pentapeptides under relevant denaturing conditions.
Derived new parameters that showed a small but significant improvement in shift predictions for denatured ubiquitin.

Conclusions:

The newly derived parameters offer enhanced accuracy for chemical shift prediction in denatured proteins.
This work provides a valuable tool for NMR assignment strategies, especially for sparsely labeled proteins.