期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2005
卷号：102
期号：31
页码：10876-10881
DOI：10.1073/pnas.0504818102
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：This work presents the automated projection spectroscopy (APSY) method for the recording of discrete sets of j projections from N-dimensional (N [≥] 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 [Kup[c]e,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.
