Related ArticlesVirtualSpectrum, a tool for simulating peak list for multi-dimensional NMR spectra.
J Biomol NMR. 2014 Aug 14;
Authors: Nielsen JT, Nielsen NC
Abstract
NMR spectroscopy is a widely used technique for characterizing the structure and dynamics of macromolecules. Often large amounts of NMR data are required to characterize the structure of proteins. To save valuable time and resources on data acquisition, simulated data is useful in the developmental phase, for data analysis, and for comparison with experimental data. However, existing tools for this purpose can be difficult to use, are sometimes specialized for certain types of molecules or spectra, or produce too idealized data. Here we present a fast, flexible and robust tool, VirtualSpectrum, for generating peak lists for most multi-dimensional NMR experiments for both liquid and solid state NMR. It is possible to tune the quality of the generated peak lists to include sources of artifacts from peak overlap, noise and missing signals. VirtualSpectrum uses an analytic expression to represent the spectrum and derive the peak positions, seamlessly handling overlap between signals. We demonstrate our tool by comparing simulated and experimental spectra for different multi-dimensional NMR spectra and analyzing systematically three cases where overlap between peaks is particularly relevant; solid state NMR data, liquid state NMR homonuclear (1)H and (15)N-edited spectra, and 2D/3D heteronuclear correlation spectra of unstructured proteins. We analyze the impact of protein size and secondary structure on peak overlap and on the accuracy of structure determination based on data of different qualities simulated by VirtualSpectrum.
PMID: 25119482 [PubMed - as supplied by publisher]
VirtualSpectrum, a tool for simulating peak list for multi-dimensional NMR spectra
VirtualSpectrum, a tool for simulating peak list for multi-dimensional NMR spectra
Abstract
NMR spectroscopy is a widely used technique for characterizing the structure and dynamics of macromolecules. Often large amounts of NMR data are required to characterize the structure of proteins. To save valuable time and resources on data acquisition, simulated data is useful in the developmental phase, for data analysis, and for comparison with experimental data. However, existing tools for this purpose can be difficult to use, are sometimes specialized for...
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08-13-2014 07:50 PM
[NMR paper] Enhancing the resolution of multi-dimensional heteronuclear NMR spectra of intrinsically disordered proteins by homonuclear broadband decoupling.
Enhancing the resolution of multi-dimensional heteronuclear NMR spectra of intrinsically disordered proteins by homonuclear broadband decoupling.
Related Articles Enhancing the resolution of multi-dimensional heteronuclear NMR spectra of intrinsically disordered proteins by homonuclear broadband decoupling.
Chem Commun (Camb). 2013 Dec 23;
Authors: Helge Meyer N, Zangger K
Abstract
Limited spectral resolution in the proton dimension of NMR spectra is a severe problem in intrinsically disordered proteins. Here we show that homonuclear...
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12-25-2013 03:39 PM
[NMR paper] Peakr: Simulating solid-state NMR spectra of proteins.
Peakr: Simulating solid-state NMR spectra of proteins.
Related Articles Peakr: Simulating solid-state NMR spectra of proteins.
Bioinformatics. 2013 Mar 14;
Authors: Schneider R, Odronitz F, Hammesfahr B, Hellkamp M, Kollmar M
Abstract
MOTIVATION: When analyzing solid-state NMR spectra of proteins, assignment of resonances to nuclei and derivation of restraints for 3D structure calculations are challenging and time-consuming processes. Simulated spectra that have been calculated based on, e.g., chemical shift predictions and structural...
Parallel acquisition of multi-dimensional spectra in protein NMR
Parallel acquisition of multi-dimensional spectra in protein NMR
Abstract We introduce the use of multiple receivers applied in parallel for simultaneously recording multi-dimensional data sets of proteins in a single experiment. The utility of the approach is established through the introduction of the 2D 15N,1HN||13CO HSQC experiment in which a pair of two-dimensional 15N,1HN and 15N,13CO spectra are recorded. The methodology is further extended to higher dimensionality via the 3D 1HN||13CO HNCA in which a pair of data sets recording 13Cα,15N,1HN and 13Cα,15N,13CO chemical shifts...
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07-20-2012 11:13 PM
Analysis of non-uniformly sampled spectra with multi-dimensional decomposition
Analysis of non-uniformly sampled spectra with multi-dimensional decomposition
Publication year: 2011
Source:Progress in Nuclear Magnetic Resonance Spectroscopy, Volume 59, Issue 3</br>
Vladislav Yu. Orekhov, Victor A. Jaravine</br>
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03-09-2012 09:16 AM
Analysis of non-uniformly sampled spectra with Multi-Dimensional Decomposition
Analysis of non-uniformly sampled spectra with Multi-Dimensional Decomposition
Publication year: 2011
Source: Progress in Nuclear Magnetic Resonance Spectroscopy, In Press, Accepted Manuscript, Available online 24 February 2011</br>
Vladislav Yu., Orekhov , Victor A., Jaravine</br>
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