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Göteborgs universitets publikationer

Hyper-dimensional NMR spectroscopy with nonlinear sampling

Författare och institution:
Victor Jaravine (Svenskt NMR-centrum vid Göteborgs universitet); Anastasia Zhuravleva (Svenskt NMR-centrum vid Göteborgs universitet); P. Permi (-); I. Ibraghimov (-); Vladislav Orekhov (Svenskt NMR-centrum vid Göteborgs universitet)
Publicerad i:
Journal of the American Chemical Society, 130 ( 12 ) s. 3927-3936
Artikel, refereegranskad vetenskaplig
Sammanfattning (abstract):
An approach is described for joint interleaved recording, real-time processing, and analysis of NMR data sets. The method employs multidimensional decomposition to find common information in a set of conventional triple-resonance spectra recorded in the nonlinear sampling mode, and builds a model of hyperdimensional (HD) spectrum. While preserving sensitivity per unit of measurement time and allowing for maximal spectral resolution, the approach reduces data collection time on average by 2 orders of magnitude compared to the conventional method. The 7-10 dimensional HD spectrum, which is represented as a set of deconvoluted 1D vectors, is easy to handle and amenable for automated analysis. The method is exemplified by automated assignment for two protein systems of low and high spectral complexity: ubiquitin (globular, 8 kDa) and cyt (naturally disordered, 13 kDa). The collection and backbone assignment of the data sets are achieved in real time after approximately 1 and 10 h, respectively. The approach removes the most critical time bottlenecks in data acquisition and analysis. Thus, it can significantly increase the value of NMR spectroscopy in structural biology, for example, in high-throughput structural genomics applications.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
Biologiska vetenskaper ->
Biologiska vetenskaper ->
Biokemi och molekylärbiologi ->
Cell- och molekylärbiologi
Postens nummer:
Posten skapad:
2009-01-16 16:48
Posten ändrad:
2011-01-20 10:00

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