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Chemical exchange in biomacromolecules: Past, present, and future
Open accessAbstract
The perspective reviews quantitative investigations of chemical exchange phenomena in proteins and other biological macromolecules using NMR spectroscopy, particularly relaxation dispersion methods. The emphasis is on techniques and applications that quantify the populations, interconversion kinetics, and structural features of sparsely populated conformational states in equilibrium with a highly populated ground state. Applications to folding, mol ecular recognition, catalysis, and allostery by proteins and nucleic acids are highlighted.
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Boehr, D. D., McElheny, D., Dyson, H. J., & Wright, P. E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914163107 · Cited by 142
Cited by
Visualizing transient Watson–Crick-like mispairs in DNA and RNA duplexes
Kimsey, I. J., Petzold, K., Sathyamoorthy, B., Stein, Z. W., & Al-Hashimi, H. M. (2015) · Nature · doi:10.1038/nature14227 · Cited by 261
Representing structures of the multiple conformational states of proteins
Ramelot, T. A., Tejero, R., & Montelione, G. T. (2023) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2023.102703 · Cited by 26
Phosphates form spectroscopically dark state assemblies in common aqueous solutions
Straub, J. S., Nowotarski, M. S., Lu, J., Sheth, T., Jiao, S., Fisher, M. P. A., Shell, M. S., Helgeson, M. E., Jerschow, A., & Han, S. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2206765120 · Cited by 33
Bishop, A. C., Torres-Montalvo, G., Kotaru, S., Mimun, K., & Wand, A. J. (2023) · Nature Communications · doi:10.1038/s41467-023-37219-z · Cited by 16
Metadata
- Authors
- Palmer, A. G.
- Venue
- Journal of Magnetic Resonance
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 241
- Pages
- 3-17
- ISSN
- 1090-7807 (ISSN-L)
- OpenAlex
- W2093728891
- Cited by
- 263
- References
- 1
- FWCI
- 8.52
- Type
- journal article
- Language
- en
- Open access
- green
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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.
