Automated projection spectroscopy (APSY)

被引:194
作者
Hiller, S [1 ]
Fiorito, F [1 ]
Wüthrich, K [1 ]
Wider, G [1 ]
机构
[1] ETH, Inst Mol Biol & Biophys, CH-8093 Zurich, Switzerland
关键词
GAPRO; multidimensional; NMR; peak picking;
D O I
10.1073/pnas.0504818102
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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 [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.
引用
收藏
页码:10876 / 10881
页数:6
相关论文
共 32 条
[1]   Automated analysis of protein NMR assignments and structures [J].
Baran, MC ;
Huang, YJ ;
Moseley, HNB ;
Montelione, GT .
CHEMICAL REVIEWS, 2004, 104 (08) :3541-3555
[2]   METHODOLOGICAL ADVANCES IN PROTEIN NMR [J].
BAX, A ;
GRZESIEK, S .
ACCOUNTS OF CHEMICAL RESEARCH, 1993, 26 (04) :131-138
[3]  
Bracewell R. N., 1956, Aust. J. Phys, V9, P198, DOI [DOI 10.1071/PH560198, 10.1071/PH560198]
[4]  
Ernst R. R., 1987, PRINCIPLES NUCL MAGN
[5]   Letter to the Editor:: NMR structure determination of the hypothetical protein TM1290 from Thermotoga maritima using automated NOESY analysis [J].
Etezady-Esfarjani, T ;
Herrmann, T ;
Peti, W ;
Klock, HE ;
Lesley, SA ;
Wüthrich, K .
JOURNAL OF BIOMOLECULAR NMR, 2004, 29 (03) :403-406
[6]   NMR assignment of the conserved hypothetical protein TM1290 of Thermotoga maritima [J].
Etezady-Esfarjani, T ;
Peti, W ;
Wüthrich, K .
JOURNAL OF BIOMOLECULAR NMR, 2003, 25 (02) :167-168
[7]   Distant echoes of the accordion: Reduced dimensionality, GFT-NMR, and projection-reconstruction of multidimensional spectra [J].
Freeman, R ;
Kupce, E .
CONCEPTS IN MAGNETIC RESONANCE PART A, 2004, 23A (02) :63-75
[8]   IMPROVED 3D TRIPLE-RESONANCE NMR TECHNIQUES APPLIED TO A 31-KDA PROTEIN [J].
GRZESIEK, S ;
BAX, A .
JOURNAL OF MAGNETIC RESONANCE, 1992, 96 (02) :432-440
[9]   Protein NMR structure determination with automated NOE-identification in the NOESY spectra using the new software ATNOS [J].
Herrmann, T ;
Güntert, P ;
Wüthrich, K .
JOURNAL OF BIOMOLECULAR NMR, 2002, 24 (03) :171-189
[10]   Solution NMR spectroscopy beyond 25 kDa [J].
Kay, LE ;
Gardner, KH .
CURRENT OPINION IN STRUCTURAL BIOLOGY, 1997, 7 (05) :722-731