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TRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates
Accurate rotational correlation times (τ(c)) are critical for quantitative analysis of fast timescale NMR dynamics. As molecular weights increase, the classic derivation of τ(c) using transverse and longitudinal relaxation rates becomes increasingly unsuitable due to the non-trivial contribution of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627365/ https://www.ncbi.nlm.nih.gov/pubmed/34480265 http://dx.doi.org/10.1007/s10858-021-00379-5 |
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author | Robson, Scott A. Dağ, Çağdaş Wu, Hongwei Ziarek, Joshua J. |
author_facet | Robson, Scott A. Dağ, Çağdaş Wu, Hongwei Ziarek, Joshua J. |
author_sort | Robson, Scott A. |
collection | PubMed |
description | Accurate rotational correlation times (τ(c)) are critical for quantitative analysis of fast timescale NMR dynamics. As molecular weights increase, the classic derivation of τ(c) using transverse and longitudinal relaxation rates becomes increasingly unsuitable due to the non-trivial contribution of remote dipole-dipole interactions to longitudinal relaxation. Derivations using cross-correlated relaxation experiments, such as TRACT, overcome these limitations but are erroneously calculated in 65% of the citing literature. Herein, we developed an algebraic solutions to the Goldman relationship that facilitate rapid, point-by-point calculations for straightforward identification of appropriate spectral regions where global tumbling is likely to be dominant. The rigid-body approximation of the Goldman relationship has been previously shown to underestimate TRACT-based rotational correlation time estimates. This motivated us to develop a second algebraic solution that employs a simplified model-free spectral density function including an order parameter term that could, in principle, be set to an average backbone S(2) ≈ 0.9 to further improve the accuracy of τ(c) estimation. These solutions enabled us to explore the boundaries of the Goldman relationship as a function of the H-N internuclear distance ( r ), difference of the two principal components of the axially-symmetric (15)N CSA tensor (Δδ(N)), and angle of the CSA tensor relative to the N-H bond vector (θ). We hope our algebraic solutions and analytical strategies will increase the accuracy and application of the TRACT experiment. |
format | Online Article Text |
id | pubmed-8627365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-86273652022-09-03 TRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates Robson, Scott A. Dağ, Çağdaş Wu, Hongwei Ziarek, Joshua J. J Biomol NMR Article Accurate rotational correlation times (τ(c)) are critical for quantitative analysis of fast timescale NMR dynamics. As molecular weights increase, the classic derivation of τ(c) using transverse and longitudinal relaxation rates becomes increasingly unsuitable due to the non-trivial contribution of remote dipole-dipole interactions to longitudinal relaxation. Derivations using cross-correlated relaxation experiments, such as TRACT, overcome these limitations but are erroneously calculated in 65% of the citing literature. Herein, we developed an algebraic solutions to the Goldman relationship that facilitate rapid, point-by-point calculations for straightforward identification of appropriate spectral regions where global tumbling is likely to be dominant. The rigid-body approximation of the Goldman relationship has been previously shown to underestimate TRACT-based rotational correlation time estimates. This motivated us to develop a second algebraic solution that employs a simplified model-free spectral density function including an order parameter term that could, in principle, be set to an average backbone S(2) ≈ 0.9 to further improve the accuracy of τ(c) estimation. These solutions enabled us to explore the boundaries of the Goldman relationship as a function of the H-N internuclear distance ( r ), difference of the two principal components of the axially-symmetric (15)N CSA tensor (Δδ(N)), and angle of the CSA tensor relative to the N-H bond vector (θ). We hope our algebraic solutions and analytical strategies will increase the accuracy and application of the TRACT experiment. 2021-09-03 2021-09 /pmc/articles/PMC8627365/ /pubmed/34480265 http://dx.doi.org/10.1007/s10858-021-00379-5 Text en https://creativecommons.org/licenses/by/4.0/Under no circumstances may this AM be shared or distributed under a Creative Commons or other form of open access license, nor may it be reformatted or enhanced, whether by the Author or third parties. See here for Springer Nature’s terms of use for AM versions of subscription articles: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms |
spellingShingle | Article Robson, Scott A. Dağ, Çağdaş Wu, Hongwei Ziarek, Joshua J. TRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates |
title | TRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates |
title_full | TRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates |
title_fullStr | TRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates |
title_full_unstemmed | TRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates |
title_short | TRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates |
title_sort | tract revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627365/ https://www.ncbi.nlm.nih.gov/pubmed/34480265 http://dx.doi.org/10.1007/s10858-021-00379-5 |
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