Literature DB >> 28160196

INFOS: spectrum fitting software for NMR analysis.

Albert A Smith1.   

Abstract

Software for fitting of NMR spectra in MATLAB is presented. Spectra are fitted in the frequency domain, using Fourier transformed lineshapes, which are derived using the experimental acquisition and processing parameters. This yields more accurate fits compared to common fitting methods that use Lorentzian or Gaussian functions. Furthermore, a very time-efficient algorithm for calculating and fitting spectra has been developed. The software also performs initial peak picking, followed by subsequent fitting and refinement of the peak list, by iteratively adding and removing peaks to improve the overall fit. Estimation of error on fitting parameters is performed using a Monte-Carlo approach. Many fitting options allow the software to be flexible enough for a wide array of applications, while still being straightforward to set up with minimal user input.

Entities:  

Keywords:  Data analysis; Multi-dimensional NMR; Quantitative NMR; Spectrum fitting

Mesh:

Year:  2017        PMID: 28160196     DOI: 10.1007/s10858-016-0085-2

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  33 in total

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2.  Determination of concentrations by time domain fitting of proton NMR echo signals using prior knowledge.

Authors:  J E van Dijk; A F Mehlkopf; D van Ormondt; W M Bovée
Journal:  Magn Reson Med       Date:  1992-09       Impact factor: 4.668

Review 3.  Automatic estimation of the noise variance from the histogram of a magnetic resonance image.

Authors:  Jan Sijbers; Dirk Poot; Arnold J den Dekker; Wouter Pintjens
Journal:  Phys Med Biol       Date:  2007-02-08       Impact factor: 3.609

4.  Automatic detection of brain contours in MRI data sets.

Authors:  M E Brummer; R M Mersereau; R L Eisner; R J Lewine
Journal:  IEEE Trans Med Imaging       Date:  1993       Impact factor: 10.048

5.  The program XEASY for computer-supported NMR spectral analysis of biological macromolecules.

Authors:  C Bartels; T H Xia; M Billeter; P Güntert; K Wüthrich
Journal:  J Biomol NMR       Date:  1995-07       Impact factor: 2.835

6.  Protein backbone angle restraints from searching a database for chemical shift and sequence homology.

Authors:  G Cornilescu; F Delaglio; A Bax
Journal:  J Biomol NMR       Date:  1999-03       Impact factor: 2.835

7.  Theory and application of the maximum likelihood principle to NMR parameter estimation of multidimensional NMR data.

Authors:  R A Chylla; J L Markley
Journal:  J Biomol NMR       Date:  1995-04       Impact factor: 2.835

8.  NMRPipe: a multidimensional spectral processing system based on UNIX pipes.

Authors:  F Delaglio; S Grzesiek; G W Vuister; G Zhu; J Pfeifer; A Bax
Journal:  J Biomol NMR       Date:  1995-11       Impact factor: 2.835

9.  A general Monte Carlo/simulated annealing algorithm for resonance assignment in NMR of uniformly labeled biopolymers.

Authors:  Kan-Nian Hu; Wei Qiang; Robert Tycko
Journal:  J Biomol NMR       Date:  2011-06-28       Impact factor: 2.835

10.  Practical model fitting approaches to the direct extraction of NMR parameters simultaneously from all dimensions of multidimensional NMR spectra.

Authors:  R A Chylla; B F Volkman; J L Markley
Journal:  J Biomol NMR       Date:  1998-08       Impact factor: 2.835

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  10 in total

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5.  Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component Materials.

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7.  Exploration of expanded carbohydrate chemical space to access biological activity using microwave-induced acid condensation of simple sugars.

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Review 8.  The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science.

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Journal:  RSC Adv       Date:  2021-09-13       Impact factor: 4.036

9.  Asparagine and Glutamine Side-Chains and Ladders in HET-s(218-289) Amyloid Fibrils Studied by Fast Magic-Angle Spinning NMR.

Authors:  Thomas Wiegand; Alexander A Malär; Riccardo Cadalbert; Matthias Ernst; Anja Böckmann; Beat H Meier
Journal:  Front Mol Biosci       Date:  2020-09-30

10.  Experimental Characterization of the Hepatitis B Virus Capsid Dynamics by Solid-State NMR.

Authors:  Alexander A Malär; Morgane Callon; Albert A Smith; Shishan Wang; Lauriane Lecoq; Carolina Pérez-Segura; Jodi A Hadden-Perilla; Anja Böckmann; Beat H Meier
Journal:  Front Mol Biosci       Date:  2022-01-03
  10 in total

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