Literature DB >> 17563910

Utilizing unsymmetrical indirect covariance processing to define 15N- 13C connectivity networks.

Gary E Martin1, Patrick A Irish, Bruce D Hilton, Kirill A Blinov, Antony J Williams.   

Abstract

There has been considerable interest over the past decade in the utilization of direct and long-range 1H- 15N heteronuclear shift correlation methods at natural abundance to facilitate the elucidation of small molecule structures. Recently, there has also been a high level of interest in the exploration of indirect covariance NMR methods. Our initial explorations in this area led to the development of unsymmetrical indirect covariance methods, which allow the calculation of hyphenated 2D NMR spectra such as 2D GHSQC-COSY and GHSQC-NOESY from the discrete component 2D NMR experiments. We now wish to report the utilization of unsymmetrical indirect covariance NMR methods for the combination of 1H- 13C GHSQC and 1H- 15N long-range (GHMBC, IMPEACH-MBC, CIGAR-HMBC, etc.) heteronuclear chemical shift correlation spectra to determine 15N- 13C correlation pathways. Copyright 2007 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17563910     DOI: 10.1002/mrc.2029

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  3 in total

1.  The use of 1H-31P GHMBC and covariance NMR to unambiguously determine phosphate ester linkages in complex polysaccharide mixtures.

Authors:  Edward R Zartler; Gary E Martin
Journal:  J Biomol NMR       Date:  2011-09-16       Impact factor: 2.835

2.  Covariance nuclear magnetic resonance methods for obtaining protein assignments and novel correlations.

Authors:  Aswani K Kancherla; Dominique P Frueh
Journal:  Concepts Magn Reson Part A Bridg Educ Res       Date:  2018-09-16       Impact factor: 0.481

Review 3.  The value of universally available raw NMR data for transparency, reproducibility, and integrity in natural product research.

Authors:  James B McAlpine; Shao-Nong Chen; Andrei Kutateladze; John B MacMillan; Giovanni Appendino; Andersson Barison; Mehdi A Beniddir; Maique W Biavatti; Stefan Bluml; Asmaa Boufridi; Mark S Butler; Robert J Capon; Young H Choi; David Coppage; Phillip Crews; Michael T Crimmins; Marie Csete; Pradeep Dewapriya; Joseph M Egan; Mary J Garson; Grégory Genta-Jouve; William H Gerwick; Harald Gross; Mary Kay Harper; Precilia Hermanto; James M Hook; Luke Hunter; Damien Jeannerat; Nai-Yun Ji; Tyler A Johnson; David G I Kingston; Hiroyuki Koshino; Hsiau-Wei Lee; Guy Lewin; Jie Li; Roger G Linington; Miaomiao Liu; Kerry L McPhail; Tadeusz F Molinski; Bradley S Moore; Joo-Won Nam; Ram P Neupane; Matthias Niemitz; Jean-Marc Nuzillard; Nicholas H Oberlies; Fernanda M M Ocampos; Guohui Pan; Ronald J Quinn; D Sai Reddy; Jean-Hugues Renault; José Rivera-Chávez; Wolfgang Robien; Carla M Saunders; Thomas J Schmidt; Christoph Seger; Ben Shen; Christoph Steinbeck; Hermann Stuppner; Sonja Sturm; Orazio Taglialatela-Scafati; Dean J Tantillo; Robert Verpoorte; Bin-Gui Wang; Craig M Williams; Philip G Williams; Julien Wist; Jian-Min Yue; Chen Zhang; Zhengren Xu; Charlotte Simmler; David C Lankin; Jonathan Bisson; Guido F Pauli
Journal:  Nat Prod Rep       Date:  2018-07-13       Impact factor: 13.423

  3 in total

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