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Spectral density function mapping using 15N relaxation data exclusively

N A Farrow1, O Zhang, A Szabo

  • 1Protein Engineering Network of Centre of Excellence, University of Toronto, ON, Canada.

Journal of Biomolecular NMR
|September 1, 1995
PubMed
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This study introduces a new method to determine spectral density functions, J(omega), which describe protein amide bond dynamics using only 15N relaxation data. The approach accurately maps protein dynamics across various timescales without assuming a specific spectral density function form.

Area of Science:

  • Biophysics
  • Structural Biology
  • Nuclear Magnetic Resonance (NMR) Spectroscopy

Background:

  • Understanding protein dynamics is crucial for deciphering protein function.
  • Nuclear Magnetic Resonance (NMR) relaxation parameters provide insights into molecular motion.
  • Characterizing the spectral density function (J(omega)) is key to analyzing these dynamics.

Purpose of the Study:

  • To develop a method for determining the spectral density function, J(omega), describing amide bond vector dynamics.
  • To achieve this determination using only 15N relaxation parameters (T1, T2, and steady-state NOE).
  • To enable the mapping of J(omega) at various frequencies relevant to molecular motion.

Main Methods:

  • The method assumes J(omega) is a sum of Lorentzian functions.

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  • It utilizes measurements of 15N T1, T2, and 1H-15N steady-state NOE values.
  • Data acquired at one or two spectrometer frequencies allows for J(omega) determination at specific Larmor frequencies (e.g., omega=0, omegaN, 0.870 omegaH).

    • Main Results:

    • The method successfully determines J(omega) values from 15N relaxation data alone.
    • Measurements at two frequencies allow evaluation of motions on millisecond-microsecond timescales and consistency checks of dynamic models.
    • Simulations show accuracy for diverse protein motions and correlation times; experimental data validate the approach.

    Conclusions:

    • This method provides a robust way to characterize protein backbone dynamics using readily available NMR data.
    • It offers flexibility by not requiring prior assumptions about the spectral density function's form.
    • The technique was successfully applied to both folded and unfolded forms of the drk protein's N-terminal SH3 domain.