Automated projection spectroscopy (APSY)

Hiller, Sebastian and Fiorito, Francesco and Wüthrich, Kurt and Wider, Gerhard. (2005) Automated projection spectroscopy (APSY). Proceedings of the National Academy of Sciences of the United States of America, 102 (31). pp. 10876-10881.

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Official URL: http://edoc.unibas.ch/41061/

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This work presents the automated projection spectroscopy (APSY) method for the recording of discrete sets of j projections from N-dimensional (N > or = 3) NMR experiments at operator-selected projection angles and automatic identification of the correlation cross peaks. The result from APSY is the fully automated generation of the complete or nearly complete peak list for the N-dimensional NMR spectrum from a geometric analysis of the j experimentally recorded, low-dimensional projections. In the present implementation of APSY, two-dimensional projections of the N-dimensional spectrum are recorded by using techniques developed for projection-reconstruction spectroscopy [Kupce,E.& Freeman, R. (2004) J. Am. Chem. Soc. 126, 6429-6440]. All projections are peak-picked with the available automated routine atnos. The previously undescribed algorithm GAPRO (geometric analysis of projections) uses vector algebra to identify subgroups of peaks in different projections that arise from the same resonance in the N-dimensional spectrum, and from these subgroups it calculates the peak positions in the N-dimensional frequency space. Unambiguous identification thus can be achieved for all cross peaks that are not overlapped with other peaks in at least one of the N dimensions. Because of the correlation between the positions of corresponding peaks in multiple projections, uncorrelated noise is efficiently suppressed, so that APSY should be quite widely applicable for correlation spectra of biological macromolecules, which have intrinsically low peak density in the N-dimensional spectral space.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Structural Biology & Biophysics > Structural Biology (Hiller)
UniBasel Contributors:Hiller Odermatt, Sebastian
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:National Academy of Sciences
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:13 Dec 2017 14:39
Deposited On:17 Aug 2016 07:08

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