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Rapid Analysis of DEER Signals Including Short Distances.

Aritro Sinha Roy1,2, Tufa E Assafa1, Boris Dzikovski1,2

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Area of Science:

  • Biophysics
  • Structural Biology
  • Spectroscopy

Background:

  • Double electron electron resonance (DEER) spectroscopy is crucial for measuring distance distributions P(r) in protein structure and interaction studies.
  • Current DEER data analysis faces challenges due to limitations in analytical signal expressions and computational speed.
  • Accurate distance measurements are vital for understanding complex biological systems.

Purpose of the Study:

  • To derive a novel analytical expression for DEER data analysis that incorporates pseudo-secular dipolar coupling and finite pulse effects.
  • To enhance the accuracy and consistency of distance distribution P(r) calculations, particularly for shorter distances.
  • To reduce computation time for DEER data analysis.

Main Methods:

  • Derivation of the analytical expression κ_FULL, including pseudo-secular dipolar coupling (PSDC) and finite pulse effects.
  • Application of κ_FULL to analyze experimental DEER data from three nitroxide-rulers.
  • Comparison of results with current standard DEER analysis methods.

Main Results:

  • The κ_FULL expression yields accurate and consistent P(r) values for distances ranging from 15 to 32 Å.
  • Standard analysis methods produced erroneous results for distances below 20 Å.
  • Computation times for P(r) determination using κ_FULL range from 1 to 4 minutes, significantly faster than previous methods.

Conclusions:

  • The derived analytical expression κ_FULL offers a significant improvement for DEER spectroscopy data analysis.
  • κ_FULL provides accurate distance measurements, especially for shorter distances, overcoming limitations of current methods.
  • The method is broadly applicable to various DEER spin probes with minimal modifications and offers rapid computation.