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An optimal acquisition scheme for Q-band EPR distance measurements using Cu 2+ -based protein labels.

Xiaowei BogettiZikri HasanbasriHannah R HunterSunil Saxena
Published in: Physical chemistry chemical physics : PCCP (2022)
Recent advances in site-directed Cu 2+ labeling of proteins and nucleic acids have added an attractive new methodology to measure the structure-function relationship in biomolecules. Despite the promise, accessing the higher sensitivity of Q-band Double Electron Electron Resonance (DEER) has been challenging for Cu 2+ labels designed for proteins. Q-band DEER experiments on this label typically require many measurements at different magnetic fields, since the pulses can excite only a few orientations at a given magnetic field. Herein, we analyze such orientational effects through simulations and show that three DEER measurements, at strategically selected magnetic fields, are generally sufficient to acquire an orientational-averaged DEER time trace for this spin label at Q-band. The modeling results are experimentally verified on Cu 2+ labeled human glutathione S-transferase (hGSTA1-1). The DEER distance distribution measured at the Q-band shows good agreement with the distance distribution sampled by molecular dynamics (MD) simulations and X-band experiments. The concordance of MD sampled distances and experimentally measured distances adds growing evidence that MD simulations can accurately predict distances for the Cu 2+ labels, which remains a key bottleneck for the commonly used nitroxide label. In all, this minimal collection scheme reduces data collection time by as much as six-fold and is generally applicable to many octahedrally coordinated Cu 2+ systems. Furthermore, the concepts presented here may be applied to other metals and pulsed EPR experiments.
Keyphrases
  • molecular dynamics
  • density functional theory
  • aqueous solution
  • metal organic framework
  • endothelial cells
  • big data
  • monte carlo
  • high resolution
  • pet imaging
  • amino acid
  • climate change
  • binding protein
  • quantum dots