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Solid-State NMR Structural Characterization of Self-Assembled Peptides with Selective 13C and 15N Isotopic Labels

  • Danting Huang
  • Benjamin C. Hudson
  • Yuan Gao
  • Evan K. Roberts
  • Anant K. Paravastu
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 1777)

Abstract

For the structural characterization methods discussed here, information on molecular conformation and intermolecular organization within nanostructured peptide assemblies is discerned through analysis of solid-state NMR spectral features. This chapter reviews general NMR methodologies, requirements for sample preparation, and specific descriptions of key experiments. An attempt is made to explain choices of solid-state NMR experiments and interpretation of results in a way that is approachable to a nonspecialist. Measurements are designed to determine precise NMR peak positions and line widths, which are correlated with secondary structures, and probe nuclear spin–spin interactions that report on three-dimensional organization of atoms. The formulation of molecular structural models requires rationalization of data sets obtained from multiple NMR experiments on samples with carefully chosen 13C and 15N isotopic labels. The information content of solid-state NMR data has been illustrated mostly through the use of simulated data sets and references to recent structural work on amyloid fibril-forming peptides and designer self-assembling peptides.

Key words

Solid-state NMR Self-assembling peptide Selective isotopic labeling Dipolar redoubling Two-dimensional NMR 

Notes

Acknowledgements

This work was supported by the National Institute on Aging of the National Institutes of Health (award number R01AG045703). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. A portion of the work is financially supported by the National Science Foundation (DMR-105221 to AKP) and the startup at Georgia Institute of Technology. The authors also gratefully acknowledge Terrone L. Rosenberry, Ankita Gupta, and Smaranda Birlea for the proofreading of this manuscript.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Danting Huang
    • 1
  • Benjamin C. Hudson
    • 1
  • Yuan Gao
    • 1
  • Evan K. Roberts
    • 1
  • Anant K. Paravastu
    • 1
  1. 1.School of Chemical and Biomolecular Engineering, Georgia Institute of TechnologyAtlantaUSA

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