Publication date: Available online 31 July 2017 Source:Journal of Magnetic Resonance
Author(s): Rupashree Dass, Pawe? Kasprzak, Krzysztof Kazimierczuk
The Radon transform is a potentially powerful tool for processing the data from serial spectroscopic experiments. It makes it possible to decode the rate at which frequencies of spectral peaks shift under the effect of changing conditions, such as temperature, pH, or solvent. In this paper we show how it also improves speed and sensitivity, especially in multidimensional experiments. This is particularly important in the case of low-sensitivity techniques, such as NMR spectroscopy. As an example, we demonstrate how Radon transform processing allows serial measurements of 15 N -HSQC spectra of unlabelled peptides that would otherwise be infeasible. Graphical abstract
[NMR paper] Folding of apomyoglobin: Analysis of transient intermediate structure during refolding using quick hydrogen deuterium exchange and NMR.
Folding of apomyoglobin: Analysis of transient intermediate structure during refolding using quick hydrogen deuterium exchange and NMR.
http://www.bionmr.com//www.ncbi.nlm.nih.gov/corehtml/query/egifs/http:--linkout.jstage.jst.go.jp-logo.gif Related Articles Folding of apomyoglobin: Analysis of transient intermediate structure during refolding using quick hydrogen deuterium exchange and NMR.
Proc Jpn Acad Ser B Phys Biol Sci. 2017;93(1):10-27
Authors: Nishimura C
Abstract
The structures of apomyoglobin folding intermediates have...
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01-14-2017 06:24 AM
A toxic quick-change artist - Science Daily
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A toxic quick-change artist
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Previously only two methods, X-ray crystallography and nuclear magnetic resonance, could provide such level of details. The former method necessitates however having crystals of the investigated protein, which in the case of transmembrane proteins has ...
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07-13-2016 10:22 PM
Speeding-up exchange-mediated saturation transfer experiments by Fourier transform
Speeding-up exchange-mediated saturation transfer experiments by Fourier transform
Abstract
Protein motions over various time scales are crucial for protein function. NMR relaxation dispersion experiments play a key role in explaining these motions. However, the study of slow conformational changes with lowly populated states remained elusive. The recently developed exchange-mediated saturation transfer experiments allow the detection and characterization of such motions, but require extensive measurement time. Here we show that, by making use of...
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09-10-2015 01:10 AM
[CNS Yahoo group] Fourier Transform in CNS
Fourier Transform in CNS
Hi, I was wandering how the Fourier transform function is defined in CNS. When 'ft' is used, is it a normal fast-fourier-transform call or is there more to it?
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05-31-2012 03:59 AM
[CNS Yahoo group] Quick-and-dirty searches of both PDB and EMDB at PDBe
Quick-and-dirty searches of both PDB and EMDB at PDBe
Hi all, As part of its recent winter update, the Protein Data Bank in Europe (PDBe; http://pdbe.org/) has improved its facility that allows for tandem searches
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04-01-2011 09:31 PM
[KPWU blog] HADDOCK on iMac and a quick benchmark
HADDOCK on iMac and a quick benchmark
Recently I requested a copy of HADDOCK from Dr. Alexandre Bonvin in order to generate some docked dimers for my colleagues. They are working on some dimeric proteins but they have no idea how to obtain the dimeric conformation from homologous known structures. I spent few days reading the threads in the HADDOCK discussion group http://stats.wordpress.com/b.gif?host=kpwu.wordpress.com&blog=76132&post=285&subd=kpwu&ref=&feed=1
Go to KPWU blog to read complete post.
[Question from NMRWiki Q&A forum] How to process and analyze serial 1D data nmrPipe?
How to process and analyze serial 1D data nmrPipe?
Hi all,I am very new to nmrPipe. I want to achieve the following steps. It would be very kind if somebody helps.
I have a 2D bruker data (t2= 4k points, t1= 32 points) and I want to do Fourier transform in the F2 dimension,phase etc. (2) and then extract the 32 spectra as 1Ds and also convert these 32 spectra in ascii format.(3) fit the peaks with a gaussian or Lorentzian function.(4) integrate the peak and save the integrals and time points as an ascii file.
I only managed till the 1st step.Please help..!!