2016
DOI: 10.1016/j.pnmrs.2016.01.001
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How to tackle protein structural data from solution and solid state: An integrated approach

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Cited by 28 publications
(26 citation statements)
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References 196 publications
(199 reference statements)
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“…It is well established that chemical shift frequencies of individual resonances are affected by the local electronic environment, and can thus provide local structural and dynamic information. [31][32][33][34] In particular, the binding of metal ions to specific residues affects the NMR resonances of proximate residues. Since Cu 2 + has unpaired electrons, the associated paramagnetic effects strongly influence both the chemical shifts and the relaxation rates of resonances from nearby sites.…”
Section: Resultsmentioning
confidence: 99%
“…It is well established that chemical shift frequencies of individual resonances are affected by the local electronic environment, and can thus provide local structural and dynamic information. [31][32][33][34] In particular, the binding of metal ions to specific residues affects the NMR resonances of proximate residues. Since Cu 2 + has unpaired electrons, the associated paramagnetic effects strongly influence both the chemical shifts and the relaxation rates of resonances from nearby sites.…”
Section: Resultsmentioning
confidence: 99%
“…Owing to their ‘global’ character, PCSs and RDCs represent the best candidates for shedding light on the longstanding issue of the combination of structural knowledge derived from solution and solid-state (crystal) data (Carlon, Ravera, Andrałojć et al , 2016). NMR data, indeed, are often used in comparison (or, ideally, in combination) with crystal diffraction data, whenever available.…”
Section: Nmr Restraints In Refinementmentioning
confidence: 99%
“…Let us consider the refinement of a ternary Sxl–Unr–msl2-mRNA regulatory complex (Carlon, Ravera, Hennig et al , 2016). This complex consists of both RNA-recognition motifs (RRMs) of Sxl, the first of five cold-shock domains of Unr (CSD1) and an 18-mer single-stranded RNA derived from msl2-mRNA.…”
Section: Nmr Restraints In Refinementmentioning
confidence: 99%
“…It should be noted that that the structural characterization of ensembles of conformations is an ill-posed inverse problem since the NMR observables are ensemble averages. Thus, there is an infinite number of ensembles of structures that can satisfy the experimental data equally well [9]. Additional modeling is required to better characterize the conformational space.…”
Section: Introductionmentioning
confidence: 99%