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Updated: Jun 15, 2026

Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR
Published on: December 16, 2013
BEST-HNN and 2D-(HN)NH experiments for rapid backbone assignment in proteins
Dinesh Kumar1, Subhradip Paul, Ramakrishna V Hosur
1Department of Chemical Sciences, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai 400005, India.
This study enhances protein backbone assignment speed using a modified HN(CO)NH experiment (BEST-HN(CO)NH) and a novel 2D-(HN)NH method. These techniques significantly accelerate data collection and analysis for (H(N), (15)N) resonance assignment in proteins.
Area of Science:
- Biochemistry
- Structural Biology
- Nuclear Magnetic Resonance (NMR) Spectroscopy
Background:
- The HN(CO)NH experiment is crucial for backbone (H(N), (15)N) assignment in labeled proteins.
- Low sensitivity and long acquisition times limit the application of traditional HN(CO)NH, particularly for proteins with short T(2) relaxation times.
Purpose of the Study:
- To improve the sensitivity and speed of backbone (H(N), (15)N) assignment in NMR.
- To introduce a rapid amino-acid type identification method complementary to backbone assignment.
Main Methods:
- Application of the Broadband Enhancement SpectroscopY (BEST) modification to the HN(CO)NH experiment.
- Development and implementation of 2D-(HN)NH experiments for amino acid type identification.
- Testing the methods on human ubiquitin and acetic-acid denatured HIV-1 protease.
Main Results:
- The BEST modification increased sensitivity per unit time by over 2.0-fold, enabling 3D data collection in 8-10 hours.
- 2D-(HN)NH experiments, recordable in under an hour, provide anchor points for Gly, Ala, Ser/Thr residues.
- The methods are effective for both folded and unfolded protein systems and applicable to deuterated samples.
Conclusions:
- BEST-HN(CO)NH and 2D-(HN)NH significantly accelerate protein backbone resonance assignment.
- These optimized NMR methods enhance efficiency for structural studies of diverse protein systems.
- The developed techniques offer practical advantages for rapid NMR data acquisition and analysis.
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