NMR users typically run 1H, 13C, COSY, HSQC, HMBC and NOESY spectra to elucidate the structures of small molecules. Even with cryogenically cooled probes and pulsed field gradient accelerated methods, collecting 2D spectra can be quite time consuming. For concentrated samples, each 2D experiment will typically take minutes to tens of minutes to collect. Much of this time is the result of waiting for T1 relaxation in each of the experiments. Recently, Kupce and Claridge1,2 have developed a technique using standard NMR hardware where multiple 2D methods are concatenated in a single super pulse sequence employing a single relaxation delay. They have called the technique NOAH (NMR by Ordered Acquisition using 1H detection) The time saving of the NOAH technique compared to individually collected 2D spectra results from waiting a single relaxation delay for all experiments rather than a single relaxation delay for each separately acquired spectrum. The data for each spectrum is acquired in separate memory blocks which are separated after data collection allowing the data for each 2D method to be processed individually. The data can also be processed in automation. The authors have kindly made this method accessible to all Bruker users through the Bruker User Library which contains pulse sequences, parameter sets, automation scripts and detailed instructions. The left-hand panel of the figure below shows the 600 MHz HMBC, Ed-HSQC and COSY spectra obtained from the NOAH-3 BSC (HMBC, HSQC, COSY) pulse sequence for sucrose in DMSO-d6. The right-hand panel shows separately acquired 2D data sets for comparison.
The NOAH spectra were obtained from the raw concatenated data with the automation script provided. The high quality NOAH-3 data using 2 scans, 256 increments and a 2 second relaxation delay, took only 24 minutes to acquire in comparison to the separately acquired 2D spectra obtained with similar parameters, which took a total of 59 minutes to acquire. This represents a time saving of 35 minutes or 59%. It should also be noted that the data from the NOAH-3 BSC sequence is of comparable quality to that of the individually collected spectra.
1. Eriks Kupce and Tim D. W. Claridge. Chem. Commun. 54, 7139 (2018).
2. Eriks Kupce and Tim D. W. Claridge. Angew. Chem. Int. Ed., 56, 11779 (2017).
[NMR analysis blog] Faster NMR Data Processing with Mnova 9
Faster NMR Data Processing with Mnova 9
http://2.bp.blogspot.com/-c0WFKHCUap8/UqiT2-EoLtI/AAAAAAAAA3s/47Kgu5Otc9M/s1600/FASTNMR.png
For nearly a decade, computer CPU chip makers have gradually adopted the use of multiple cores to increase performance. For instance, the computer from which I’m writing this entry has 4 cores. Roughly speaking, this makes it possible to run different tasks in each core so ideally, depending on the specific application or algorithm; it would be possible to make some operations faster proportionally to the number of available cores.
However, Mnova NMR has...
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12-24-2013 12:59 AM
[NMR paper] Fast automated protein NMR data collection and assignment by ADAPT-NMR on Bruker spectrometers.
Fast automated protein NMR data collection and assignment by ADAPT-NMR on Bruker spectrometers.
Related Articles Fast automated protein NMR data collection and assignment by ADAPT-NMR on Bruker spectrometers.
J Magn Reson. 2013 Aug 30;236C:83-88
Authors: Lee W, Hu K, Tonelli M, Bahrami A, Neuhardt E, Glass KC, Markley JL
Abstract
ADAPT-NMR (Assignment-directed Data collection Algorithm utilizing a Probabilistic Toolkit in NMR) supports automated NMR data collection and backbone and side chain assignment for -labeled proteins. Given the...
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10-06-2013 06:11 AM
[NMR paper] Fast automated protein NMR data collection and assignment by ADAPT-NMR on Bruker spectrometers
Fast automated protein NMR data collection and assignment by ADAPT-NMR on Bruker spectrometers
Publication date: Available online 30 August 2013
Source:Journal of Magnetic Resonance</br>
Author(s): Woonghee Lee , Kaifeng Hu , Marco Tonelli , Arash Bahrami , Elizabeth Neuhardt , Karen C. Glass , John L. Markley</br>
ADAPT-NMR (Assignment-directed Data collection Algorithm utilizing a Probabilistic Toolkit in NMR) supports automated NMR data collection and backbone and side chain assignment for -labeled proteins. Given the sequence of the protein and data for...
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08-30-2013 04:35 PM
Please apply for RapiData 2013, a course on Data Collection and Stru
Please apply for RapiData 2013, a course on Data Collection and Stru
We are offering RapiData 2013, the fifteenth offering of our popular course: Rapid Data Collection and Structure Solving at the NSLS: A Practical Course in
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12-10-2012 06:10 PM
Please apply for RapiData 2012, a course on Data Collection and Stru
Please apply for RapiData 2012, a course on Data Collection and Stru
We are offering RapiData 2012, the fourteenth offering of our popular course: Rapid Data Collection and Structure Solving at the NSLS: A Practical Course in
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12-10-2011 02:38 AM
[CNS Yahoo group] Please apply for RapiData 2011, a course on Data Collection and Stru
Please apply for RapiData 2011, a course on Data Collection and Stru
We are offering RapiData 2011, the thirteenth offering of our popular course: Rapid Data Collection and Structure Solving at the NSLS: A Practical Course in
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12-17-2010 12:50 AM
[NMR paper] NMR data collection and analysis protocol for high-throughput protein structure determination.
NMR data collection and analysis protocol for high-throughput protein structure determination.
Related Articles NMR data collection and analysis protocol for high-throughput protein structure determination.
Proc Natl Acad Sci U S A. 2005 Jul 26;102(30):10487-92
Authors: Liu G, Shen Y, Atreya HS, Parish D, Shao Y, Sukumaran DK, Xiao R, Yee A, Lemak A, Bhattacharya A, Acton TA, Arrowsmith CH, Montelione GT, Szyperski T
A standardized protocol enabling rapid NMR data collection for high-quality protein structure determination is presented that...
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12-01-2010 06:56 PM
NMRFAM Workshop: NMR data collection and analysis for biological structure determination
NMRFAM Workshop: NMR data collection and analysis for biological structure determination
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The NMR facility is pleased to announce its first NMRFAM workshop to be held from noon June 6 through noon June 9, 2006 in the Biochemistry Addition at the University of Wisconsin-Madison.
The detailed program for the workshop is now available.
Purpose This workshop will offer a unique opportunity for participants to experience a combination of hands-on computational sessions, presentations, and discussions focusing on recently developed tools as well as emerging methods in NMR data...