Reduced-dimensionality NMR spectroscopy for high-throughput protein resonance assignment

Area of Science:

• Structural Biology
• Biophysical Chemistry
• Nuclear Magnetic Resonance Spectroscopy

Background:

• Protein resonance assignment is crucial for structural and functional studies.
• Traditional NMR experiments can be time-consuming, limiting throughput.
• High spectral resolution is essential for accurate automated analysis.

Purpose of the Study:

• To present a suite of reduced-dimensionality NMR experiments for rapid protein resonance assignment.
• To define and address the "sampling limited" and "sensitivity limited" data collection regimes.
• To facilitate automated protein resonance assignment, especially with advanced NMR instrumentation.

Main Methods:

• Development and application of reduced-dimensionality (13)C,(15)N,(1)H-triple-resonance NMR experiments.
• Definition of "sampling limited" and "sensitivity limited" data collection regimes.
• Extension of the AUTOASSIGN program for sequential resonance assignments.

Main Results:

• Reduced-dimensionality NMR avoids the "sampling limited regime", allowing adaptation to sensitivity requirements.
• A standard set of ten experiments enables efficient data collection.
• The extended AUTOASSIGN program provides sequential backbone and (13)C(beta) assignments from reduced-dimensionality data.

Conclusions:

• Reduced-dimensionality NMR spectroscopy is a powerful approach for rapid and complete protein resonance assignment.
• These methods are particularly beneficial for modern NMR spectrometers with enhanced sensitivity (e.g., cryogenic probes).
• The presented experiments and software facilitate progress towards fully automated protein analysis.