Journal of Biomolecular NMR

, Volume 55, Issue 2, pp 189–200 | Cite as

Secondary structural analysis of proteins based on 13C chemical shift assignments in unresolved solid-state NMR spectra enhanced by fragmented structure database

  • Keisuke Ikeda
  • Ayako Egawa
  • Toshimichi Fujiwara


Magic-angle-spinning solid-state 13C NMR spectroscopy is useful for structural analysis of non-crystalline proteins. However, the signal assignments and structural analysis are often hampered by the signal overlaps primarily due to minor structural heterogeneities, especially for uniformly-13C,15N labeled samples. To overcome this problem, we present a method for assigning 13C chemical shifts and secondary structures from unresolved two-dimensional 13C–13C MAS NMR spectra by spectral fitting, named reconstruction of spectra using protein local structures (RESPLS). The spectral fitting was conducted using databases of protein fragmented structures related to 13Cα, 13Cβ, and 13C′ chemical shifts and cross-peak intensities. The experimental 13C–13C inter- and intra-residue correlation spectra of uniformly isotope-labeled ubiquitin in the lyophilized state had a few broad peaks. The fitting analysis for these spectra provided sequence-specific Cα, Cβ, and C′ chemical shifts with an accuracy of about 1.5 ppm, which enabled the assignment of the secondary structures with an accuracy of 79 %. The structural heterogeneity of the lyophilized ubiquitin is revealed from the results. Test of RESPLS analysis for simulated spectra of five different types of proteins indicated that the method allowed the secondary structure determination with accuracy of about 80 % for the 50–200 residue proteins. These results demonstrate that the RESPLS approach expands the applicability of the NMR to non-crystalline proteins exhibiting unresolved 13C NMR spectra, such as lyophilized proteins, amyloids, membrane proteins and proteins in living cells.


Signal assignment Secondary structures Fragment assembly Spectral simulation Signal overlap 



This work was supported by funding from the Targeted Proteins Research Program and KAKENHI of the Ministry of Education, Culture, Sports, Sciences and Technology of Japan.

Supplementary material

10858_2012_9701_MOESM1_ESM.doc (33.4 mb)
Supplementary material 1 (DOC 34,243 kb)


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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Keisuke Ikeda
    • 1
    • 2
  • Ayako Egawa
    • 1
  • Toshimichi Fujiwara
    • 1
  1. 1.Institute for Protein ResearchOsaka UniversitySuitaJapan
  2. 2.Graduate School of Medicine and Pharmaceutical SciencesUniversity of ToyamaToyamaJapan

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