Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Rapid Proton-Detected NMR Assignment for Proteins with Fast Magic Angle Spinning

Rapid Proton-Detected NMR Assignment for Proteins with Fast Magic Angle Spinning

Thumbnail Image
Download
Name

Griffin_Rapid proton.pdf

Size

3.39 MB

Format

Adobe PDF

Checksum (MD5)

d40829f59b5b66568dd25b256e41129a

Author(s)
Barbet-Massin, Emeline
•
Pell, Andrew J.
•
Retel, Joren S.
•
Jaudzems, Kristaps
•
Franks, W. Trent
•
Nieuwkoop, Andrew J.
•
Hiller, Matthias
•
Higman, Victoria
•
Guerry, Paul
•
Bertarello, Andrea
more
Date Issued
August 2014
Journal
Journal of the American Chemical Society
Publisher
American Chemical Society (ACS)
Citation
Barbet-Massin, Emeline, Andrew J. Pell, Joren S. Retel, Loren B. Andreas, Kristaps Jaudzems, W. Trent Franks, Andrew J. Nieuwkoop, et al. “Rapid Proton-Detected NMR Assignment for Proteins with Fast Magic Angle Spinning.” Journal of the American Chemical Society 136, no. 35 (September 3, 2014): 12489-12497.
Version
Author's final manuscript
Abstract
Using a set of six [superscript 1]H-detected triple-resonance NMR experiments, we establish a method for sequence-specific backbone resonance assignment of magic angle spinning (MAS) nuclear magnetic resonance (NMR) spectra of 5–30 kDa proteins. The approach relies on perdeuteration, amide [superscript 2]H/[superscript 1]H exchange, high magnetic fields, and high-spinning frequencies (ω[subscript r]/2π ≥ 60 kHz) and yields high-quality NMR data, enabling the use of automated analysis. The method is validated with five examples of proteins in different condensed states, including two microcrystalline proteins, a sedimented virus capsid, and two membrane-embedded systems. In comparison to contemporary [superscript 13]C/[superscript 15]N-based methods, this approach facilitates and accelerates the MAS NMR assignment process, shortening the spectral acquisition times and enabling the use of unsupervised state-of-the-art computational data analysis protocols originally developed for solution NMR.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Francis Bitter Magnet Laboratory (Massachusetts Institute of Technology)
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/109521
DOI of Published Version
https://doi.org/10.1021/ja507382j
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.