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New Tools Provide New Insights in NMR Studies of Protein Dynamics
Abstract
There is growing evidence that structural flexibility plays a central role in the function of protein molecules. Many of the experimental data come from nuclear magnetic resonance (NMR) spectroscopy, a technique that allows internal motions to be probed with exquisite time and spatial resolution. Recent methodological advancements in NMR have extended our ability to characterize protein dynamics and promise to shed new light on the mechanisms by which these molecules function. Here, we present a brief overview of some of the new methods, together with applications that illustrate the level of detail at which protein motions can now be observed.
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Lipari, G., & Szabo, A. (1982) · Journal of the American Chemical Society · doi:10.1021/ja00381a009 · Cited by 3,777
Cited by
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Boehr, D. D., Nussinov, R., & Wright, P. E. (2009) · Nature Chemical Biology · doi:10.1038/nchembio.232 · Cited by 2,008
Atomic-level characterization of the structural dynamics of proteins
Shaw, D. E., Maragakis, P., Lindorff-Larsen, K., Piana, S., Dror, R. O., Eastwood, M. P., Bank, J. A., Jumper, J. M., Salmon, J. K., Shan, Y., et al. (2010) · Science · doi:10.1126/science.1187409 · Cited by 1,923
Conformational selection or induced fit: A flux description of reaction mechanism
Hammes, G. G., Chang, Y.-C., & Oas, T. G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907195106 · Cited by 577
Structural basis for protein antiaggregation activity of the trigger factor chaperone.
Saio, T., Guan, X., Rossi, P., Economou, A., & Kalodimos, C. G. (2014) · Science · doi:10.1126/science.1250494 · Cited by 289
Metadata
- Authors
- Mittermaier, A., & Kay, L. E.
- Venue
- Science
- Published
- 2006-04-14
- Volume
- 312
- Issue
- 5771
- Pages
- 224-228
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1981159786
- Cited by
- 780
- References
- 1
- FWCI
- 30.77
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
