Literature DB >> 17940728

Spatially encoded strategies in the execution of biomolecular-oriented 3D NMR experiments.

Mor Mishkovsky1, Maayan Gal, Lucio Frydman.   

Abstract

Three-dimensional nuclear magnetic resonance (3D NMR) provides one of the foremost analytical tools available for the elucidation of biomolecular structure, function and dynamics. Executing a 3D NMR experiment generally involves scanning a series of time-domain signals S(t3), as a function of two time variables (t1, t2) which need to undergo parametric incrementations throughout independent experiments. Recent years have witnessed extensive efforts towards the acceleration of this kind of experiments. Among the different approaches that have been proposed counts an "ultrafast" scheme, which distinguishes itself from other propositions by enabling--at least in principle--the acquisition of the complete multidimensional NMR data set within a single transient. 2D protein NMR implementations of this single-scan method have been demonstrated, yet its potential for 3D acquisitions has only been exemplified on model organic compounds. This publication discusses a number of strategies that could make these spatial encoding protocols compatible with 3D biomolecular NMR applications. These include a merging of 2D ultrafast NMR principles with temporal 2D encoding schemes, which can yield 3D HNCO spectra from peptides and proteins within approximately 100 s timescales. New processing issues that facilitate the collection of 3D NMR spectra by relying fully on spatial encoding principles are also assessed, and shown capable of delivering HNCO spectra within 1 s timescales. Limitations and prospects of these various schemes are briefly addressed.

Mesh:

Year:  2007        PMID: 17940728     DOI: 10.1007/s10858-007-9195-1

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


  28 in total

1.  Novel 2D triple-resonance NMR experiments for sequential resonance assignments of proteins.

Authors:  Keyang Ding; Angela M Gronenborn
Journal:  J Magn Reson       Date:  2002-06       Impact factor: 2.229

2.  New methods for fast multidimensional NMR.

Authors:  Ray Freeman; Eriks Kupce
Journal:  J Biomol NMR       Date:  2003-10       Impact factor: 2.835

3.  Principles and features of single-scan two-dimensional NMR spectroscopy.

Authors:  Lucio Frydman; Adonis Lupulescu; Tali Scherf
Journal:  J Am Chem Soc       Date:  2003-07-30       Impact factor: 15.419

4.  Single-scan NMR spectroscopy at arbitrary dimensions.

Authors:  Yoav Shrot; Lucio Frydman
Journal:  J Am Chem Soc       Date:  2003-09-17       Impact factor: 15.419

5.  Automated projection spectroscopy (APSY).

Authors:  Sebastian Hiller; Francesco Fiorito; Kurt Wüthrich; Gerhard Wider
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-25       Impact factor: 11.205

6.  UltraSOFAST HMQC NMR and the repetitive acquisition of 2D protein spectra at Hz rates.

Authors:  Maayan Gal; Paul Schanda; Bernhard Brutscher; Lucio Frydman
Journal:  J Am Chem Soc       Date:  2007-02-07       Impact factor: 15.419

7.  Real-time monitoring of chemical transformations by ultrafast 2D NMR spectroscopy.

Authors:  Maayan Gal; Mor Mishkovsky; Lucio Frydman
Journal:  J Am Chem Soc       Date:  2006-01-25       Impact factor: 15.419

8.  New reconstruction technique for echo-planar imaging to allow combined use of odd and even numbered echoes.

Authors:  K Sekihara; H Kohno
Journal:  Magn Reson Med       Date:  1987-11       Impact factor: 4.668

9.  Very fast two-dimensional NMR spectroscopy for real-time investigation of dynamic events in proteins on the time scale of seconds.

Authors:  Paul Schanda; Bernhard Brutscher
Journal:  J Am Chem Soc       Date:  2005-06-08       Impact factor: 15.419

10.  A novel approach for sequential assignment of 1H, 13C, and 15N spectra of proteins: heteronuclear triple-resonance three-dimensional NMR spectroscopy. Application to calmodulin.

Authors:  M Ikura; L E Kay; A Bax
Journal:  Biochemistry       Date:  1990-05-15       Impact factor: 3.162

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