Proton-Assisted Recoupling (PAR) in Peptides and Proteins

Research output: Contribution to journalArticle

Abstract

Proton-assisted recoupling (PAR) is examined by exploring optimal experimental conditions and magnetization transfer rates in a variety of biologically relevant nuclear spin-systems, including simple amino acids, model peptides, and two proteins-nanocrystalline protein G (GB1), and importantly amyloid beta 1-42 (M01-42) fibrils. A selective PAR protocol, SUBPAR (setting up better proton assisted recoupling), is described to observe magnetization transfer in one-dimensional spectra, which minimizes experiment time (in comparison to two-dimensional experiments) and thereby enables an efficient assessment of optimal PAR conditions for a desired magnetization transfer. In the case of the peptide spin systems, experimental and simulated PAR data sets are compared on a semiquantitative level, thereby elucidating the interactions influencing PAR magnetization transfer and their manifestations in different spin transfer networks. Using the optimum Rabi frequencies determined by SUBPAR, PAR magnetization transfer trajectories (or buildup curves) were recorded and compared to simulated results for short peptides. PAR buildup curves were also recorded for M01-42 and examined conjointly with a recent structural model. The majority of salient cross-peak intensities observed in the M01-42 PAR spectra are well-modeled with a simple biexponential equation, although the fitting parameters do not show any strong correlation to internuclear distances. Nevertheless, these parameters provide a wealth of invaluable semiquantitative structural constraints for the M01-42. The results presented here offer a complete protocol for recording PAR 13C-13C correlation spectra with high-efficiency and using the resulting information in protein structural studies.

Details

Authors
  • Kevin J. Donovan
  • Sheetal K. Jain
  • Robert Silvers
  • Sara Linse
  • Robert G. Griffin
Organisations
External organisations
  • Massachusetts Institute of Technology
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Biophysics
Original languageEnglish
Pages (from-to)10804-10817
Number of pages14
JournalJournal of Physical Chemistry B
Volume121
Issue number48
Publication statusPublished - 2017 Dec 7
Publication categoryResearch
Peer-reviewedYes