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Optimizing frequency sampling in CEST experiments

Bolik-Coulon, Nicolas; Hansen, D Flemming; Kay, Lewis E; (2022) Optimizing frequency sampling in CEST experiments. Journal of Biomolecular NMR , 76 (5-6) pp. 167-183. 10.1007/s10858-022-00403-2. Green open access

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Abstract

For the past decade chemical exchange saturation transfer (CEST) experiments have been successfully applied to study exchange processes in biomolecules involving sparsely populated, transiently formed conformers. Initial implementations focused on extensive sampling of the CEST frequency domain, requiring significant measurement times. Here we show that the lengthy sampling schemes often used are not optimal and that reduced frequency sampling schedules can be developed without a priori knowledge of the exchange parameters, that only depend on the chosen B1 field, and, to a lesser extent, on the intrinsic transverse relaxation rates of ground state spins. The reduced sampling approach described here can be used synergistically with other methods for reducing measurement times such as those that excite multiple frequencies in the CEST dimension simultaneously, or make use of non-uniform sampling of indirectly detected time domains, to further decrease measurement times. The proposed approach is validated by analysis of simulated and experimental datasets.

Type: Article
Title: Optimizing frequency sampling in CEST experiments
Location: Netherlands
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s10858-022-00403-2
Publisher version: https://doi.org/10.1007/s10858-022-00403-2
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. - For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
Keywords: Chemical exchange saturation transfer, Fourier transform, Frequency domain sampling, Invisible protein states, Protein dynamics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology
URI: https://discovery.ucl.ac.uk/id/eprint/10161238
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