15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
April 19th, 2021
Here, a detailed description of the protocol implemented in the laboratory for acquisition and analysis of 15N relaxation dispersion profiles by solution NMR spectroscopy is provided.
This protocol can be used for detection and characterization of protein conformational dynamics, which are essential for understanding a large variety of cellular processes. Compared to other methods, this method does not require specialized sample preparation steps and provides in comprehensive characterization of the kinetics, thermodynamics, and structural aspects of confirmational equilibrium. CPMG relaxation dispersion can be applied more widely for the characterization of confirmational dynamics in nucleic acids and other biomolecules, as well as for the characterization of ligand nanoparticle interactions.
Our protocol is aimed at first-time CPMG users. So it is a good starting point. However, we do expect users to know the basic steps for running conventional NMR experiments.
To set up an NMR experiment for the first time, first download and unzip these supplemental files. Copy the Bits. vv and trosy_15N_CPMG.
vv files in the pulse program folder to the pulse program directory. Open the acquisition software and use the EDC command to copy a previously run hydrogen nitrogen 15 HSQC experiment into a new experiment. Use the pulse program command to load the trosy_15N_CPMG.
vv pulse program file into the newly created experiment. Then use the instructions from the end of the pulse program file to set up the CPMG experiment. To set up a routine NMR experiment, introduce the sample to the magnet and perform all of the basic NMR acquisition steps.
Set P1 to the duration of the hydrogen hard 90 degree pulses and P7 to the duration nitrogen 15 hard 90 degree pulses. In the acquisition window, set the center and spectral width for the hydrogen and nitrogen 15 dimensions. Set the relaxation delay to 0.7 T2 and use the VC list command to create a list of integer numbers corresponding to N.After confirming that each entry in the list corresponds to a different CPMG field according to CPMG filed equals times 4N divided by D30, check that the first number in the list is zero.
Set L8 to the number of entries in the VC list, L3 to the number of real points for the indirect dimension, and 1TD to L8 times L3 times two. To optimize the water suppression, set the receiver gain to one and type EDC pull to open the pulse program file. On line 91, remove the semi-colon preceding goto 999, and save the file.
Using the GS command, adjust the SPDB0 parameters to minimize the intensity of the FID signal. When the signal intensity has been modified, reintroduce a semi-colon at line 91 of the pulse program file and save the file. To optimize SPDB11, set the receiver gain to one and the type EDC pull to open the pulse program file.
On line 168, remove the semi-colon preceding goto 999, and save the file. Using the GS command, adjust the SPDB11 parameters to minimize the intensity of the FID signal. When the signal intensity has been modified, reintroduce the semi-colon at line 168 and save the file.
To optimize SPDB2, set the receiver gain to one and enter EDC pull to open the pulse program file. On line 179, remove the semi-colon preceding goto 999, and save the file. Using the GS command, adjust the SPDB2 parameters to minimize the intensity of the FID signal.
When the signal intensity has been modified, re-introduce the semi-colon at line 179 of the pulse program file and save the file. To optimize PLDB2, set the receiver gain to one and enter EDC pull to open the pulse program file. On line 184, remove the semi-colon preceding goto 999, and save the file.
Using the GS command, adjust the PLDB2 parameters to minimize the intensity of the FID signal. When the signal intensity has been modified, reintroduce the semi-colon at line 184 of the pulse program file and save the file. Run the RGA command to optimize the receiver gain.
Then run the ZG command to start the experiment. In this figure, the results of the relaxation dispersion profiles acquired for each peak in the hydrogen nitrogen 15 Trosy spectrum can be observed. From the acquired relaxation dispersion profiles, it's possible to estimate the exchange contribution to the nitrogen 15 transverse relaxation of each backbone AMI group.
By plotting the transverse relaxation on the 3D structure of the protein under investigation it's possible to identify the structural regions undergoing confirmational exchange on the microsecond millisecond timescale. Modeling of the relaxation dispersion curves using the Carver-Richards equations returns the thermodynamic and kinetic parameters on the exchange process, such as the fractional populations of the states in equilibrium and the rate of exchange among these states. The temperature dependence of these thermodynamic and kinetic parameters can then be modeled using the van't Hoff and I-ring equations, respectively, to obtain detailed information on the energetics of the confirmational exchange.
It is crucial to carefully optimize all of the acquisition parameters, in particular P7.It is also important to produce highly pure and homogenous samples to avoid spurious dispersions. The kinetic, thermodynamic, and chemical chip parameters obtained using this protocol can be used to derive energetic and structural information about the species undergoing the confirmational exchange. Characterization of the protein confirmational dynamics obtained by CPMG methods provides crucial information towards understanding signaling and enzymatic activity, as well as new perspectives for drug design.
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Overview
This article presents a detailed protocol for detecting and characterizing protein conformational dynamics using 15N CPMG relaxation dispersion NMR experiments. The method enables comprehensive analysis of the kinetics, thermodynamics, and structural aspects of conformational equilibria in proteins, with an example application to the C-terminal domain of bacterial Enzyme I. The protocol is designed for first-time CPMG users with basic NMR experience and emphasizes careful optimization of experimental parameters for reliable results.
Key Study Components
Area of Science
- Structural biology
- NMR spectroscopy
- Protein dynamics
Background
- Protein conformational dynamics are fundamental to enzymatic catalysis, ligand binding, allostery, and signaling.
- Understanding the interplay between protein structure and dynamics is a major focus in modern structural biology.
- CPMG relaxation dispersion NMR provides atomic-resolution insights into conformational equilibria on the microsecond to millisecond timescale.
- Existing methods often require specialized sample preparation, whereas this protocol does not.
Purpose of Study
- To provide a step-by-step protocol for acquiring and analyzing 15N CPMG relaxation dispersion NMR data.
- To enable first-time users to characterize protein conformational dynamics effectively.
- To demonstrate the application of the protocol to a biologically relevant protein domain.
Methods Used
- Preparation and setup of NMR experiments using supplemental pulse program files.
- Optimization of acquisition parameters, including pulse durations and spectral widths.
- Stepwise adjustment of water suppression parameters (SPDB0, SPDB11, SPDB2, PLDB2) for optimal signal quality.
- Acquisition of relaxation dispersion profiles and subsequent data analysis using Carver-Richards equations and temperature-dependent modeling.
Main Results
- Successful acquisition of relaxation dispersion profiles for each peak in the 1H-15N TROSY spectrum.
- Estimation of exchange contributions to 15N transverse relaxation for backbone amide groups.
- Identification of protein regions undergoing conformational exchange on the μs-ms timescale.
- Derivation of kinetic and thermodynamic parameters, including state populations and exchange rates.
Conclusions
- The protocol enables detailed characterization of protein conformational dynamics without specialized sample preparation.
- Careful optimization of experimental parameters and sample quality is critical for reliable results.
- CPMG relaxation dispersion NMR provides valuable insights into protein function, signaling, enzymatic activity, and drug design.
Frequently Asked Questions
Executive Industry Relevance
Understanding protein conformational dynamics at atomic resolution is critical for de-risking early discovery and target validation in biopharma R&D. 15N CPMG relaxation dispersion NMR enables quantitative mapping of structural equilibria and exchange kinetics on the µs-ms timescale, directly informing mechanistic hypotheses and functional target assessment. This capability supports predictive confidence at key inflection points in the discovery pipeline, particularly for targets where dynamic behavior underpins biological function.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Enables atomic-level interrogation of conformational exchange relevant to enzymatic catalysis and signaling.
- Provides kinetic and thermodynamic parameters for functional target de-risking.
- Supports mechanistic validation by mapping dynamic regions within protein structures.
- Facilitates triage of targets based on dynamic behavior and structural adaptability.
Screening & Assay Development
- Delivers validated quantitative readouts for conformational exchange, supporting assay standardization.
- Enables reproducible measurement of dynamic states across protein variants or ligand-bound forms.
- Prepares robust biological systems for downstream screening of modulators affecting protein dynamics.
- Supports platform reuse for diverse protein targets and biomolecular systems.
Translational & Preclinical Research
- Aligns dynamic structural features with disease-relevant mechanisms and potential biomarkers.
- Provides continuity from discovery-stage mechanistic insights to preclinical validation of functional effects.
- Informs risk-adjusted advancement decisions by quantifying dynamic contributions to protein function.
- Enables predictive de-risking for targets with allosteric or conformationally driven activity.
Pipeline & Workflow Integration
This NMR-based method integrates into the discovery continuum from early hypothesis testing through lead identification and preclinical research, especially for structurally dynamic targets.
- Discovery Biology: Quantifies conformational exchange and clarifies mechanistic hypotheses for target validation.
- Screening: Provides reproducible, quantitative outputs for comparing protein states and ligand effects.
- Analytics: Generates kinetic and thermodynamic parameters for robust statistical analysis and decision-making.
- Translational Research: Bridges atomic-resolution dynamics to functional outcomes relevant for disease models.
- Enterprise Reuse: Offers a standardized, broadly applicable workflow for dynamic biomolecule characterization.
Operational & Enterprise Impact
- Scientific Value: Increases predictive confidence and reduces mechanistic ambiguity in target selection.
- Operational Value: Standardizes dynamic measurements and supports reproducibility across teams.
- Strategic Value: Enables informed go/no-go decisions and capital-efficient portfolio management.
- Portfolio Impact: Supports risk-adjusted prioritization and advancement of dynamic or allosteric targets.
Implementation Considerations
- Requires expertise in NMR spectroscopy and data analysis for kinetic modeling.
- Needs access to high-field NMR instrumentation and optimized pulse programs.
- Demands rigorous sample purity and homogeneity to avoid spurious results.
- Standardization across teams is essential for reproducibility and data comparability.
- Adaptation to other biomolecules (e.g., nucleic acids) is feasible with protocol adjustments.
