Modern Magnetic Resonance 2017
DOI: 10.1007/978-3-319-28275-6_121-1
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NMR Spectroscopy in the Analysis of Protein-Protein Interactions

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Cited by 3 publications
(2 citation statements)
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“…Changes in the two-dimensional (2D) heteronuclear single-quantum coherence spectra are then used to calculate the binding affinity and binding site of the protein complex. Several other NMR-based methods have also been developed to study membrane dynamic proteinprotein interactions, such as solvent paramagnetic relaxation enhancement, residual dipolar coupling, and nuclear Overhauser effect (Vinogradova and Qin, 2012;Gell et al, 2017;Larsen et al, 2018).…”
Section: Nuclear Magnetic Resonance Spectroscopymentioning
confidence: 99%
“…Changes in the two-dimensional (2D) heteronuclear single-quantum coherence spectra are then used to calculate the binding affinity and binding site of the protein complex. Several other NMR-based methods have also been developed to study membrane dynamic proteinprotein interactions, such as solvent paramagnetic relaxation enhancement, residual dipolar coupling, and nuclear Overhauser effect (Vinogradova and Qin, 2012;Gell et al, 2017;Larsen et al, 2018).…”
Section: Nuclear Magnetic Resonance Spectroscopymentioning
confidence: 99%
“…Selective isotope-labelling presents an elegant way for improving the spectral resolution (Verardi et al 2012 ) with site-selective 13 C and 2 H labelling delivering greatly simplified protein NMR spectra, which benefit the analysis of large proteins (Takeuchi et al 2007 ; Kainosho and Güntert 2009 ; Takeda et al 2010 ). As a drawback, the cost of sample preparation with isotope-labelled amino acids can be high (Gell et al 2017 ). The present work presents a new strategy for selective 13 C-labelling of aromatic amino acids that uses inexpensive 13 C-labelled precursors to direct 13 C labels into specific positions of the aromatic side chains of phenylalanine (Phe), tryptophan (Trp) and tyrosine (Tyr) in a cell-free protein synthesis (CFPS) system.…”
Section: Introductionmentioning
confidence: 99%