Pokern, Y;
Eltzner, B;
Huckemann, SF;
Beeken, C;
Stubbe, JA;
Tkach, I;
Bennati, M;
(2021)
Statistical analysis of ENDOR spectra.
Proceedings of the National Academy of Sciences of the United States of America
, 118
(27)
, Article e2023615118. 10.1073/pnas.2023615118.
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Abstract
Electron–nuclear double resonance (ENDOR) measures the hyperfine interaction of magnetic nuclei with paramagnetic centers and is hence a powerful tool for spectroscopic investigations extending from biophysics to material science. Progress in microwave technology and the recent availability of commercial electron paramagnetic resonance (EPR) spectrometers up to an electron Larmor frequency of 263 GHz now open the opportunity for a more quantitative spectral analysis. Using representative spectra of a prototype amino acid radical in a biologically relevant enzyme, the Y∙122 in Escherichia coli ribonucleotide reductase, we developed a statistical model for ENDOR data and conducted statistical inference on the spectra including uncertainty estimation and hypothesis testing. Our approach in conjunction with 1H/2H isotopic labeling of Y∙122 in the protein unambiguously established new unexpected spectral contributions. Density functional theory (DFT) calculations and ENDOR spectral simulations indicated that these features result from the beta-methylene hyperfine coupling and are caused by a distribution of molecular conformations, likely important for the biological function of this essential radical. The results demonstrate that model-based statistical analysis in combination with state-of-the-art spectroscopy accesses information hitherto beyond standard approaches.
| Type: | Article |
|---|---|
| Title: | Statistical analysis of ENDOR spectra |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1073/pnas.2023615118 |
| Publisher version: | https://doi.org/10.1073/pnas.2023615118 |
| Language: | English |
| Additional information: | Copyright © 2021 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
| Keywords: | ENDOR, error model, bootstrap, statistical tests, tyrosyl radical |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10133519 |
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