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Web server DDfit: a new scheme to process PFG NMR diffusion data with improved precision.

Vladislav A Salikov1, Olga O Lebedenko1, Nikolai R Skrynnikov2,3

  • 1Laboratory of Biomolecular NMR, St. Petersburg State University, St. Petersburg, 199034, Russia.

Journal of Biomolecular NMR
|February 17, 2026
PubMed
Summary
This summary is machine-generated.

A new web server, DDfit, accurately processes stimulated echo protein diffusion data. It improves precision in determining protein diffusion coefficients, offering a significant advancement for NMR analysis.

Keywords:
Baseline correctionPFG NMRProtein diffusionSignal-to-noise optimizationSpectral fittingStimulated echo

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Area of Science:

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

Background:

  • Protein diffusion measurements are crucial for understanding protein dynamics and interactions.
  • Existing methods for processing stimulated echo protein diffusion data can be limited in accuracy and precision.
  • Accurate determination of diffusion coefficients aids in characterizing protein structure and function.

Purpose of the Study:

  • To introduce a novel data processing scheme for stimulated echo protein diffusion experiments.
  • To develop a user-friendly web server (DDfit) for implementing this new algorithm.
  • To enhance the accuracy and precision of protein diffusion coefficient determination.

Main Methods:

  • A new model was developed to approximate protein-specific spectral shapes in gradient-encoded proton spectra.
  • The model utilizes an intensity-weighted combination of spectra, inspired by optimal filtration theory.
  • The processed spectra are fitted to obtain integral signal intensities for Stejskal-Tanner-type analyses.

Main Results:

  • The DDfit web server was implemented and made publicly accessible.
  • The server efficiently processes data from standard and custom stimulated echo experiments.
  • DDfit demonstrated several-fold improvement in precision for protein diffusion coefficients compared to existing methods, validated with simulated and experimental data.

Conclusions:

  • The DDfit algorithm and web server provide a highly accurate and precise method for analyzing protein diffusion data.
  • This tool offers a significant advancement in the field of NMR-based protein characterization.
  • DDfit is expected to facilitate more reliable studies of protein dynamics and interactions.