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Cited by 414

The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.

Perspectives on NMR in drug discovery: a technique comes of age

Open access
Pellecchia, Maurizio, Bertini, Ivano, Cowburn, David, Dalvit, Claudio, Giralt, Ernest, Jahnke, Wolfgang, James, Thomas L., Homans, Steve W., Kessler, Horst, Luchinat, Claudio, Meyer, Bernd, Oschkinat, Hartmut, Peng, Jeff, Schwalbe, Harald, Siegal, Gregg·2008·Nature Reviews Drug Discovery

Abstract

In the past decade, the potential of harnessing the ability of nuclear magnetic resonance (NMR) spectroscopy to monitor intermolecular interactions as a tool for drug discovery has been increasingly appreciated in academia and industry. In this Perspective, we highlight some of the major applications of NMR in drug discovery, focusing on hit and lead generation, and provide a critical analysis of its current and potential utility.

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Registry

Crossref · 10.1038/nrd2606

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Metadata

Authors
Pellecchia, M., Bertini, I., Cowburn, D., Dalvit, C., Giralt, E., Jahnke, W., James, T. L., Homans, S. W., Kessler, H., Luchinat, C., Meyer, B., Oschkinat, H., Peng, J., Schwalbe, H., & Siegal, G.
Venue
Nature Reviews Drug Discovery
Published
2008-09
Volume
7
Issue
9
Pages
738-745
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W2037959733
Cited by
414
References
124
FWCI
1.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Perspectives on NMR in drug discovery: a technique comes of age. https://app.cochat.ai/papers/10.1038/nrd2606
The paper
Pellecchia, M., Bertini, I., Cowburn, D., Dalvit, C., Giralt, E., Jahnke, W., James, T. L., Homans, S. W., Kessler, H., Luchinat, C., Meyer, B., Oschkinat, H., Peng, J., Schwalbe, H., & Siegal, G. (2008). Perspectives on NMR in drug discovery: a technique comes of age. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd2606

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.