Rapid prediction of multi-dimensional NMR data sets

Autor: Gradmann, S.H.E., Ader, C., Heinrich, I., Nand, D., Dittmann, M., Cukkemane, A.A., van Dijk, M., Bonvin, A.M.J.J., Engelhard, M., Baldus, M., NMR Spectroscopy, Sub NMR Spectroscopy

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Journal of Biomolecular NMR, 54(4), 377-387. Springer Netherlands
Journal of Biomolecular NMR, 54(4), 377
Journal of Biomolecular NMR
Journal of Biomolecular NMR, 54(4), 377. Springer Netherlands
Gradmann, S, Ader, C, Heinrich, I, Nand, D, Dittmann, M, Cukkemane, A, van Dijk, M, Bonvin, A M J J, Engelhard, M & Baldus, M 2012, ' Rapid prediction of multi-dimensional NMR data sets ', Journal of Biomolecular NMR, vol. 54, no. 4, pp. 377-387 . https://doi.org/10.1007/s10858-012-9681-y

We present a computational environment for Fast Analysis of multidimensional NMR DAta Sets (FANDAS) that allows assembling multidimensional data sets from a variety of input parameters and facilitates comparing and modifying such "in silico" data set

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f008cfa18d79070b3e781e440f27ca3
https://doi.org/10.1007/s10858-012-9681-y

A combination of novel solid-state NMR methods and related software to study molecular assemblies and biomolecules

Autor: Gradmann, S.H.E.

Solid-state Nuclear Magnetic Resonance (ssNMR) is a versatile spectroscopic method that can be applied to various samples relevant in life and material science and provides atomic insight into molecular structure, dynamics and assembly. The present t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::8ba769e5359a3525dd5e6a8ac336f51c
https://dspace.library.uu.nl/handle/1874/281193