4.3 Article

Enhanced accuracy of kinetic information from CT-CPMG experiments by transverse rotating-frame spectroscopy

Journal

JOURNAL OF BIOMOLECULAR NMR
Volume 57, Issue 1, Pages 73-82

Publisher

SPRINGER
DOI: 10.1007/s10858-013-9769-z

Keywords

Relaxation dispersion; CT-CPMG; R-1 rho; Kinetics

Funding

  1. Max Planck Society
  2. EU (ERC) [233227]
  3. NIH [GM080642]
  4. European Research Council (ERC) [233227] Funding Source: European Research Council (ERC)

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Micro-to-millisecond motions of proteins transmit pivotal signals for protein function. A powerful technique for the measurement of these motions is nuclear magnetic resonance spectroscopy. One of the most widely used methodologies for this purpose is the constant-time Carr-Purcell-Meiboom-Gill (CT-CPMG) relaxation dispersion experiment where kinetic and structural information can be obtained at atomic resolution. Extraction of accurate kinetics determined from CT-CPMG data requires refocusing frequencies that are much larger than the nuclei's exchange rate between states. We investigated the effect when fast processes are probed by CT-CPMG experiments via simulation and show that if the intrinsic relaxation rate is not known a priori the extraction of accurate kinetics is hindered. Errors on the order of 50 % in the exchange rate are attained when processes become fast, but are minimized to 5 % with a priori information. To alleviate this shortcoming, we developed an experimental scheme probing with large amplitude spin-lock fields, which specifically contains the intrinsic proton longitudinal Eigenrelaxation rate. Our approach was validated with ubiquitin and the Oscillatoria agardhii agglutinin (OAA). For OAA, an underestimation of 66 % in the kinetic rates was observed if is not included during the analysis of CT-CPMG data and result in incorrect kinetics and imprecise amplitude information. This was overcome by combining CT-CPMG with measured with a high power R-1 rho experiment. In addition, the measurement of removes the ambiguities in choosing between different models that describe CT-CPMG data.

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