2017
DOI: 10.1016/j.pnmrs.2016.11.001
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Pseudocontact shifts in biomolecular NMR using paramagnetic metal tags

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Cited by 137 publications
(149 citation statements)
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References 258 publications
(309 reference statements)
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“…The tensor properties were then obtained by fitting to the residues in secondary structure elements of ubiquitin (PDB 1UBI 37 ) or the leucine residues of hCA II (PDB 3KS3) using Numbat . Q‐factors were calculated according to the standard equation described by Nitsche et al …”
Section: Methodsmentioning
confidence: 99%
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“…The tensor properties were then obtained by fitting to the residues in secondary structure elements of ubiquitin (PDB 1UBI 37 ) or the leucine residues of hCA II (PDB 3KS3) using Numbat . Q‐factors were calculated according to the standard equation described by Nitsche et al …”
Section: Methodsmentioning
confidence: 99%
“…[33,39,40] The tensor properties were then obtained by fitting to the residues in secondary structure elements of ubiquitin (PDB 1UBI 37 )o rt he leucine residues of hCA II (PDB 3KS3 [41] )u sing Numbat. [42] Q-factors were calculated according to the standard equation described by Nitsche et al [1] DFT calculations DFT calculations were performed with the ORCA program package [43] at the sciCORE facility of the University of Basel. For these calculations, BP86 was used as the functional, [44,45] SARC-TZVP as the basis set for the ligands, and SARC2-QZVP as the basis set for the lanthanide metal.…”
Section: Expression Of Ubiquitin S57 Ca Nd Tagging Reactionmentioning
confidence: 99%
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“…The DINGO-PCS utilizes PCSs of backbone amide protons as the only experimental data to identify, orient, and build the protein structure from its constituent Smotifs. The DINGO-PCS algorithm requires PCS datasets to be available from at least three different metal centers that are site-specifically incorporated in the target protein using artificial metal carrying chemical tags (Nitsche and Otting, 2017). The locations of these metal centers are ideally well dispersed in space to reduce correlation between PCS data sets, which can be difficult to achieve without prior knowledge of the target structure.…”
Section: Introductionmentioning
confidence: 99%