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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27836

Title: IRIS: Internal Repeat Identification System
Authors: Hua-Ying Kao;Wen-Shyong Tzou;Yen-Chu Hsu;Chien-Ming Chen;Tun-Wen Pai
Contributors: NTOU:Department of Computer Science and Engineering
國立臺灣海洋大學:資訊工程學系
Keywords: internal repeats;length encoded secondary structure;protein structure;autocorrelation
Date: 2009
Issue Date: 2011-10-21T02:34:10Z
Publisher: 2009 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP 2009)
Abstract: Abstract:Protein repeats are considered as a significant role in protein function analysis and structural 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 identify internal repeats from soely protein sequences information. Traditional detection methods exploited amino acid sequence alignment to detect protein repeats from protein sequences,but the performance was satisfied limited to high sequence similarity. In this study, a novel method was proposed based on the predicted secondary structure element information. 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 some well-known preotein structures, such as Tata-box Binding protein of Sulfolobus acidocaldarius and porcine ribonuclease inhibitor complexed with the ribonuclease.
Relation: pp.557-561
URI: http://ntour.ntou.edu.tw/handle/987654321/27836
Appears in Collections:[資訊工程學系] 演講及研討會

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