| Title |
Probing conformational dynamics in biomolecules via chemical exchange saturation transfer: a primer
|
|---|---|
| Published in |
Journal of Biomolecular NMR, March 2017
|
| DOI | 10.1007/s10858-017-0099-4 |
| Pubmed ID | |
| Authors |
Pramodh Vallurupalli, Ashok Sekhar, Tairan Yuwen, Lewis E. Kay |
| Abstract |
Although Chemical Exchange Saturation Transfer (CEST) type NMR experiments have been used to study chemical exchange processes in molecules since the early 1960s, there has been renewed interest in the past several years in using this approach to study biomolecular conformational dynamics. The methodology is particularly powerful for the study of sparsely populated, transiently formed conformers that are recalcitrant to investigation using traditional biophysical tools, and it is complementary to relaxation dispersion and magnetization transfer experiments that have traditionally been used to study chemical exchange processes. Here we discuss the concepts behind the CEST experiment, focusing on practical aspects as well, we review some of the pulse sequences that have been developed to characterize protein and RNA conformational dynamics, and we discuss a number of examples where the CEST methodology has provided important insights into the role of dynamics in biomolecular function. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 173 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 21% |
| Researcher | 36 | 21% |
| Student > Bachelor | 14 | 8% |
| Professor | 10 | 6% |
| Student > Doctoral Student | 8 | 5% |
| Other | 27 | 15% |
| Unknown | 43 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 49 | 28% |
| Chemistry | 40 | 23% |
| Agricultural and Biological Sciences | 19 | 11% |
| Medicine and Dentistry | 4 | 2% |
| Physics and Astronomy | 2 | 1% |
| Other | 6 | 3% |
| Unknown | 55 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2020.
All research outputs
#14,337,934
of 22,959,818 outputs
Outputs from Journal of Biomolecular NMR
#353
of 615 outputs
Outputs of similar age
#174,020
of 309,602 outputs
Outputs of similar age from Journal of Biomolecular NMR
#2
of 10 outputs
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