Publication:
TRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates

dc.contributor.coauthorRobson, Scott A.
dc.contributor.coauthorWu, Hongwei
dc.contributor.coauthorZiarek, Joshua J.
dc.contributor.departmentN/A
dc.contributor.kuauthorDağ, Çağdaş
dc.contributor.kuprofileFaculty Member
dc.contributor.schoolcollegeinstituteN/A
dc.contributor.yokidN/A
dc.date.accessioned2024-11-09T23:54:35Z
dc.date.issued2021
dc.description.abstractAccurate rotational correlation times (tau(c)) are critical for quantitative analysis of fast timescale NMR dynamics. As molecular weights increase, the classic derivation of tau(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 approximate to 0.9 to further improve the accuracy of tau(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 N-15 CSA tensor (Delta delta(N)), and angle of the CSA tensor relative to the N-H bond vector (theta). We hope our algebraic solutions and analytical strategies will increase the accuracy and application of the TRACT experiment.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue45177
dc.description.openaccessYES
dc.description.sponsorshipNational Institutes of Health [R00GM115814] National Institutes of Health (R00GM115814 to J.J.Z.).
dc.description.volume75
dc.identifier.doi10.1007/s10858-021-00379-5
dc.identifier.eissn1573-5001
dc.identifier.issn0925-2738
dc.identifier.scopus2-s2.0-85114148012
dc.identifier.urihttp://dx.doi.org/10.1007/s10858-021-00379-5
dc.identifier.urihttps://hdl.handle.net/20.500.14288/15224
dc.identifier.wos692300600001
dc.keywordsModel-free
dc.keywordsOrder parameters
dc.keywordsTROSY
dc.keywordsNMR
dc.keywordsDipole-dipole (DD)
dc.keywordsChemical shift anisotropy (CSA)
dc.languageEnglish
dc.publisherSpringer
dc.sourceJournal Of Biomolecular Nmr
dc.subjectBiochemistry
dc.subjectMolecular biology
dc.subjectSpectroscopy
dc.titleTRACT revisited: an algebraic solution for determining overall rotational correlation times from cross-correlated relaxation rates
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0003-1595-431X
local.contributor.kuauthorDağ, Çağdaş

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