GNAT

GNAT processes, visualizes, and analyzes Nuclear Magnetic Resonance (NMR) data to extract diffusion, relaxation (T1/T2), and kinetic information from high-resolution NMR datasets.


Key Features:

  • Data Import and Compatibility: Supports the importation of various common file formats used by major NMR platforms as well as a GNAT generic format.
  • Comprehensive Data Processing: Provides Fourier transformation, baseline correction, phasing, reference deconvolution, and pure shift FID reconstruction to improve spectral quality.
  • DOSY (Diffusion-Ordered Spectroscopy): Analyzes diffusion properties in complex mixtures.
  • SCORE: Offers complementary diffusion data analysis alongside DOSY.
  • ROSY T1/T2: Estimates relaxation times (T1 and T2) for insights into molecular dynamics and interactions.
  • PARAFAC (Parallel Factor Analysis): Performs multilinear decomposition of multidimensional NMR data for component resolution.
  • Support for relaxation and kinetic experiments: Extends analysis capabilities beyond diffusion NMR to relaxation and kinetic high-resolution NMR datasets.

Scientific Applications:

  • Chemical Analysis: Study molecular structures and interactions using high-resolution and diffusion-resolved NMR data.
  • Biological Research: Analyze biomolecular dynamics, conformational changes, and interactions via relaxation and diffusion measurements.
  • Material Science: Characterize molecular-level properties of materials using NMR diffusion, relaxation, and kinetic analyses.

Methodology:

Implemented methods explicitly include Fourier transformation, baseline correction, phasing, reference deconvolution, pure shift FID reconstruction, DOSY, SCORE, ROSY T1/T2, and PARAFAC.

Topics

Details

License:
GPL-3.0
Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
MATLAB
Added:
8/5/2018
Last Updated:
12/10/2018

Operations

Publications

Castañar L, Poggetto GD, Colbourne AA, Morris GA, Nilsson M. The GNAT: A new tool for processing NMR data. Magnetic Resonance in Chemistry. 2018;56(6):546-558. doi:10.1002/mrc.4717. PMID:29396867. PMCID:PMC6001793.

PMID: 29396867
PMCID: PMC6001793
Funding: - Engineering and Physical Sciences Research Council: EP/E057888/1, EP/E05899X/1, EP/H024336/1, EP/I007989/1, EP/L018500/1, EP/M013820/1, EP/N033949/1

Documentation