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    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:大连工学院
    • 学位:学士
    • 所在单位:创新创业学院
    • 学科:应用数学
    • 电子邮箱:mfhe@dlut.edu.cn

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    A new graphical representation of protein sequences and its applications

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    论文类型:期刊论文

    发表时间:2016-02-15

    发表刊物:PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

    收录刊物:SCIE、EI、Scopus

    卷号:444

    页面范围:996-1002

    ISSN号:0378-4371

    关键字:Sequences analysis; Similarity; Moments of inertia; Tensor; Phylogenetic tree

    摘要:Sequence analysis is one of the foundations in bioinformatics for the abundant information hidden in the sequences. It is helpful for scientists' study on the function of DNA, proteins and cells. In this paper, we outline a novel method for protein sequences similarity analysis based on the physical-chemical properties of amino acids. We consider the protein sequence as a rigid-body with mass. Then we introduce the moment of inertia to the calculation of similarity of sequences and the sequences are transformed into vectors by the tensor for moment of inertia. The Euclidean distance is employed as a measurement of the similarities. At last, the comparison with other references' results shows our approach is reasonable and effective. (C) 2015 Elsevier B.V. All rights reserved.