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    A Slice-based 13C-detected NMR Spin System Forming and Resonance Assignment Method

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    Type
    Article
    Authors
    Alazmi, Meshari cc
    Abbas, Ahmed
    Guo, Xianrong
    Fan, Ming
    Li, Lihua
    Gao, Xin
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Imaging and Characterization Core Lab
    NMR
    Date
    2018-06-25
    Online Publication Date
    2018-06-25
    Print Publication Date
    2018-11-01
    Permanent link to this record
    http://hdl.handle.net/10754/628390
    
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    Abstract
    Nuclear magnetic resonance (NMR) spectroscopy is attracting more attention in the field of computational structural biology. Till recently, 1H-detected experiments are the dominant NMR technique used due to the high sensitivity of 1H nuclei. However, the current availability of high magnetic fields and cryogenically cooled probe heads allow researchers to overcome the low sensitivity of 13C nuclei. Consequently, 13C-detected experiments have become a popular technique in different NMR applications especially resonance assignment and structure determination of large proteins. In this paper, we propose the first spin system forming method for 13C-detected NMR spectra. Our method is able to accurately form spin systems based on as few as two 13C-detected spectra, CBCACON and CBCANCO. Our method picks slices from the more trusted spectrum and uses them as feedback to direct the slice picking in the less trusted one. This feedback leads to picking the accurate slices that consequently helps to form better spin systems. We tested our method on a real dataset of ‘Ubiquitin’ and a benchmark simulated dataset consisting of 12 proteins. We fed our spin systems as inputs to a genetic algorithm to generate the chemical shift assignment, and obtained 92% correct chemical shift assignment for Ubiquitin. For the simulated dataset, we obtained an average recall of 86% and an average precision of 88%. Finally, our chemical shift assignment of Ubiquitin was given as an input to CS-ROSETTA server that generated structures close to the experimentally determined structure
    Citation
    Alazmi M, Abbas A, Guo X, Fan M, Li L, et al. (2018) A Slice-based 13C-detected NMR Spin System Forming and Resonance Assignment Method. IEEE/ACM Transactions on Computational Biology and Bioinformatics: 1–1. Available: http://dx.doi.org/10.1109/tcbb.2018.2849728.
    Sponsors
    The 13C-detected spectra for Ubiquitin were provided by the Imaging and Characterization Core Lab, King Abdullah University of Science and Technology (KAUST). The research reported in this paper is supported by the funding from King Abdullah University of Science and Technology (KAUST).
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    DOI
    10.1109/tcbb.2018.2849728
    Additional Links
    https://ieeexplore.ieee.org/document/8395030/
    ae974a485f413a2113503eed53cd6c53
    10.1109/tcbb.2018.2849728
    Scopus Count
    Collections
    Articles; Imaging and Characterization Core Lab; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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