C
Christian Griesinger
Researcher at Max Planck Society
Publications - 449
Citations - 25595
Christian Griesinger is an academic researcher from Max Planck Society. The author has contributed to research in topics: Nuclear magnetic resonance spectroscopy & Residual dipolar coupling. The author has an hindex of 76, co-authored 408 publications receiving 23162 citations. Previous affiliations of Christian Griesinger include University of Göttingen & ETH Zurich.
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Journal ArticleDOI
Novel three-dimensional NMR techniques for studies of peptides and biological macromolecules
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Paramagnetic tagging of diamagnetic proteins for solution NMR.
TL;DR: Approaches towards the paramagnetic tagging of diamagnetic proteins are reviewed and applications for the study of homodimer structures and protein/ligand interactions, as well as protein domain dynamics, are reviewed.
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The NMR structure of the sensory domain of the membranous two-component fumarate sensor (histidine protein kinase) DcuS of Escherichia coli
Lucia Pappalardo,Ingo G. Janausch,Vinesh Vijayan,Eva Zientz,Jochen Junker,Wolfgang Peti,Markus Zweckstetter,Gottfried Unden,Christian Griesinger +8 more
TL;DR: The structure of the water-soluble, periplasmic domain of the fumarate sensor DcuS (DcuS-pd) has been determined by NMR spectroscopy in solution, suggesting direct linking or connection to helices in the two transmembrane regions.
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Peptide conformations. 42. Conformation of side chains in peptides using heteronuclear coupling constants obtained by two-dimensional NMR spectroscopy
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Self-consistent residual dipolar coupling based model-free analysis for the robust determination of nanosecond to microsecond protein dynamics.
Nils-Alexander Lakomek,Korvin F. A. Walter,Christophe Farès,Oliver F. Lange,Bert L. de Groot,Helmut Grubmüller,Rafael Brüschweiler,Axel Munk,Stefan Becker,Jens Meiler,Christian Griesinger +10 more
TL;DR: A robust approach is presented that delivers RDC-based order parameters—independent of the details of the structure used for alignment tensor calculation—as well as the dynamic average orientation of the inter-nuclear vectors in the protein structure in a self-consistent manner providing a much more robust assessment of dynamic effects that underlie the RDC data.