Poisson-Gap Sampling and Forward Maximum Entropy Reconstruction for Enhancing the Resolution and Sensitivity of Protein NMR Data.
The article presents the study on the forward maximum entropy (FM) reconstruction method developed for the resolution and sensitivity of Protein Nuclear Magnetic Resonance (NMR) spectra. It assesses the sinusoidal-weighted Poison-gap sampling and FM reconstruction with linear predictions to cope up...
| Publicado en: | Journal of the American Chemical Society Vol. 132; no. 7; pp. 2145 - 2148 |
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| Autores principales: | , , |
| Formato: | Artículo |
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American Chemical Society
2/24/2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=48616412&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 48616412 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00027863 ACS jtl: Journal of the American Chemical Society issn: 00027863 maglogo: N pubinfo: dt: 2/24/2010 vid: 132 iid: 7 pid: 997 pub: American Chemical Society artinfo: ui: 48616412 10.1021/ja908004w ppf: 2145 ppct: 3 formats: tig: atl: Poisson-Gap Sampling and Forward Maximum Entropy Reconstruction for Enhancing the Resolution and Sensitivity of Protein NMR Data. aug: au: Hyberts, Sven G. Takeuchi, Koh Wagner, Gerhard affil: Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, Massachusetts 02115 su: Nuclear magnetic resonance spectroscopy Spectrometers Maximum entropy method Spectrum analysis Sampling (Process) Optical resolution sug: subj: Nuclear magnetic resonance spectroscopy Spectrometers Maximum entropy method Spectrum analysis Sampling (Process) Optical resolution ab: The article presents the study on the forward maximum entropy (FM) reconstruction method developed for the resolution and sensitivity of Protein Nuclear Magnetic Resonance (NMR) spectra. It assesses the sinusoidal-weighted Poison-gap sampling and FM reconstruction with linear predictions to cope up with limitations in sampling schedules for the quality of spectra. The study reveals that linear predictions suffer from lower resolution which is important in crowded spectral regions. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2010 holdings: @attributes: islocal: N |
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