淡江大學機構典藏:Item 987654321/75805
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    題名: A Comprehensive System for Identifying Internal Repeat Substructures of Proteins
    作者: Kao, Hua-ying;Shih, Tsang-huang;Pai, Tun-wen;Lu, Ming-da;Hsu, Hui-huang
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: Length Encoded Secondary Structure;internal repeat unit;secondary structure element;sequence alignment;solenoid;structure alignment
    日期: 2010-02
    上傳時間: 2012-04-16 09:50:10 (UTC+8)
    出版者: IEEE Computer Society
    摘要: Repetitive substructures within a protein play an important role in understanding protein folding and stability, biological function, and genome evolution. About 25% of all proteins contain repeat structures for eukaryote species and most of them do not have the resolved structural information yet. Therefore, this study aimed to design a comprehensive system for identifying internal repeats either from a protein sequence or structural information. In this study, we have curated a set of internal repeat units as a benchmark dataset for performing both sequence and structural alignment with respect to the query sequence or structure. Except for the traditional BLAST algorithms on amino acid sequence or the optimal structural superposition approaches on structures, a novel method employing the predicted secondary structure element information for internal repeat identification was proposed. Sequences were firstly transformed into Length Encoded Secondary Structure (LESS) profiles and followed by autocorrelation analyses. From the primary experimental results, the developed Internal Repeat Identification System (IRIS) can successfully identify internal repeats from those known protein structures, and the web system is freely available at http://iris.cs.ntou.edu.tw/.
    關聯: Proceedings of the Fourth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2010), pp.689-693
    DOI: 10.1109/CISIS.2010.92
    顯示於類別:[資訊工程學系暨研究所] 會議論文

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