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Cited by 339

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Determination of Three-Dimensional Structures of Proteins and Nucleic Acids in Solution by Nuclear Magnetic Resonance Spectroscop

Clore, G. Marius, Gronenborn, Angela M.·1989·Critical Reviews in Biochemistry and Molecular Biology

Abstract

Nuclear magnetic resonance (NMR) spectroscopy has evolved over the last decade into a powerful method for determining three-dimensional structures of biological macromolecules in solution. Key advances have been the introduction of two-dimensional experiments, high-field superconducting magnets, and computational procedures for converting the NMR-derived interproton distances and torsion angles into three-dimensional structures. This article outlines the methodology employed, describes the major NMR experiments necessary for the spectral analysis of macromolecules, and discusses the computational approaches employed to date. The present state of the art is illustrated using a variety of examples, and future developments are indicated.

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Metadata

Authors
Clore, G. M., & Gronenborn, A. M.
Venue
Critical Reviews in Biochemistry and Molecular Biology
Published
1989-01
Volume
24
Issue
5
Pages
479-564
ISSN
  • 0045-6411 (ISSN-L)
  • 1040-9238
  • 1549-7798
OpenAlex
W2081102369
Cited by
339
References
1
FWCI
4.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Determination of Three-Dimensional Structures of Proteins and Nucleic Acids in Solution by Nuclear Magnetic Resonance Spectroscop. https://app.cochat.ai/papers/10.3109/10409238909086962
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Clore, G. M., & Gronenborn, A. M. (1989). Determination of Three-Dimensional Structures of Proteins and Nucleic Acids in Solution by Nuclear Magnetic Resonance Spectroscop. Critical Reviews in Biochemistry and Molecular Biology. https://doi.org/10.3109/10409238909086962

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.