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Data Processing in Multidimensional NMR

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Protein NMR Techniques

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 60))

Abstract

This chapter is an overview of the current data processing capabilities of multidimensional NMR spectroscopy, a diversified area where there is a coexistence of commercial software from large multifunctional companies, small software developers, academic developments, and routines written in-house. Multidimensional NMR has been characterized by ideas and practical developments preceding commercial software tools. Two-dimensional (2D) NMR (1–4) progressed slowly initially, as it was significantly limited by existing computer technology. Impressive development took place in the 1980s (5–13) leading to the appearance of more than 2D experiments, e.g., 3D (14–19), and about 6 yr ago, 4D applications (20–22). Hardware developments, such as multiple-channel capabilities, increasing field strength, and digital technology, have enhanced the capabilities of NMR, as have isotope labeling techniques and gradient applications (23). Developments in experimental methodology (24), data processing, and data analysis (25) have made multidimensional NMR spectroscopy widely used in chemistry and materials science (26), and an equal partner to X-ray methods in studying biomolecular structure, function, and dynamics (19,27–32).

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Author information

Authors and Affiliations

  1. Department of Chemistry, Princeton University, Princeton, NJ

    István Pelczer

  2. Molecular Simulations, Cambridge, UK

    Brian G. Carter

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  1. István Pelczer
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  2. Brian G. Carter
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  1. SmithKline Beecham Pharmaceuticals, Welwyn, Hertfordshire, UK

    David G. Reid

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© 1997 Humana Press Inc.

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Pelczer, I., Carter, B.G. (1997). Data Processing in Multidimensional NMR. In: Reid, D.G. (eds) Protein NMR Techniques. Methods in Molecular Biology™, vol 60. Humana Press. https://doi.org/10.1385/0-89603-309-0:71

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  • DOI: https://doi.org/10.1385/0-89603-309-0:71

  • Publisher Name: Humana Press

  • Print ISBN: 978-0-89603-309-2

  • Online ISBN: 978-1-59259-546-4

  • eBook Packages: Springer Protocols

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