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  Sequential backbone assignment based on dipolar amide-to-amide correlation experiments.

Xiang, S. Q., Grohe, K., Rovo, P., Vasa, S. K., Giller, K., Becker, S., et al. (2015). Sequential backbone assignment based on dipolar amide-to-amide correlation experiments. Journal of Biomolecular NMR, 62(3), 303-311. doi:10.1007/s10858-015-9945-4.

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 Creators:
Xiang, S. Q.1, Author           
Grohe, K.1, Author           
Rovo, P.1, Author           
Vasa, S. K.1, Author           
Giller, K.2, Author           
Becker, S.2, Author           
Linser, R.1, Author           
Affiliations:
1Research Group of Solid-State NMR-2, MPI for Biophysical Chemistry, Max Planck Society, ou_1950286              
2Department of NMR-Based Structural Biology, MPI for biophysical chemistry, Max Planck Society, ou_578567              

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Free keywords: Ultra-fast MAS; Proton-detected solid-state NMR; SH3 domain; Deuteration; Dipolar transfers
 Abstract: Proton detection in solid-state NMR has seen a tremendous increase in popularity in the last years. New experimental techniques allow to exploit protons as an additional source of information on structure, dynamics, and protein interactions with their surroundings. In addition, sensitivity is mostly improved and ambiguity in assignment experiments reduced. We show here that, in the solid state, sequential amide-to-amide correlations turn out to be an excellent, complementary way to exploit amide shifts for unambiguous backbone assignment. For a general assessment, we compare amide-to-amide experiments with the more common C-13-shift-based methods. Exploiting efficient CP magnetization transfers rather than less efficient INEPT periods, our results suggest that the approach is very feasible for solid-state NMR.

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Language(s): eng - English
 Dates: 2015-05-152015-07
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s10858-015-9945-4
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Title: Journal of Biomolecular NMR
Source Genre: Journal
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Pages: - Volume / Issue: 62 (3) Sequence Number: - Start / End Page: 303 - 311 Identifier: -