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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8170

    Title: A novel feature with dynamic time warping and least squares adjustment for protein structure alignment
    Authors: H.W. Hsiao;W.H. Hsiao;C.K. Hsu;Jeffrey J.P. Tsai
    Contributors: Department of Bioinformatics
    Keywords: protein structure alignment;dynamic time warping;least squares adjustment;coarse-to-fine matching.
    Date: 2006-10
    Issue Date: 2010-03-19 16:25:11 (UTC+8)
    Publisher: Asia University
    Abstract: Protein structure alignment is of importance in protein study. In general, such a task can be
    divided into two categories, i.e., global and local structure alignments. In this paper, one-dimensional
    features are extracted first from the original protein structures. A hybrid approach combining dynamic
    time warping and least squares adjustment is proposed for global alignment of protein 3D structures in
    an iterative fashion, where dynamic time warping is responsible for coarse alignment of two structures
    and least squares adjustment handles the fine matching of amino acid residues. The residuals of
    matched pairs are utilized to calculate the weights to accelerate the convergence of coarse-to-fine
    matching. The preliminary results have demonstrated the effectiveness and efficiency of the proposed
    approach. However, there is still a room for improvement in terms of accuracy and memory usage.
    Relation: Asian Journal of Health and Information Sciences 1(3): 261-275
    Appears in Collections:[生物資訊與醫學工程學系 ] 期刊論文

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