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Activity Number:
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104
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #306028 |
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Title:
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Multi-Dimensional NMR Spectra Identification for Protein Structure Determination
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Author(s):
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Nicoleta Serban*+
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Companies:
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Georgia Institute of Technology
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Address:
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755 Ferst Drive, Atlanta, GA, 30332-0205,
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Keywords:
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NMR ; protein structure ; mixture regression model ; wavelet decomposition ; backfitting ; mixture detection
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Abstract:
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Determining the three-dimensional structures for large proteins using multidimensional Nuclear Magnetic Resonance (NMR) poses a formidable undertaking because of systematic noise, local correlated noise, and a large number of protons that resonate at similar frequencies. The primary objective of the research presented in this talk is to develop a statistical technique for identification and characterization of multi-dimensional NMR spectra. Our statistical method takes a novel overall perspective: (1) It incorporates a preliminary step for separating the signal from the background using a method that adapts for sharp changes in the data and non-homogeneous signal; (2) The locations, widths and amplitudes of the NMR spectra are estimated using a computational efficient algorithm; (3) It detects mixtures of spectra to solve ambiguities due to protons with similar resonance frequencies.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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