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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27972

Title: Designing a Dedicated Database for Eukaryotic Algae Species – A Case Study on Cross-species Comparison of P450 Enzymes
Authors: Tsan-Huang Shih;Tsai-Ling Lee;Kuan-Yuan Chang;Yu-Ping Hsu;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: LESS;cytochrome P450;eukaryotic algae;genomic comparison;homologous protein
Date: 2010-12
Issue Date: 2011-10-21T02:34:48Z
Publisher: International Computer Symposium(ICS 2010)
Abstract: Abstract:Public molecular sequences and structures for animal and plant species are growing rapidly. It frequently leads to the retrieving results of homologous search containing undesirable entries from different organisms. To reduce unwanted output, a dedicated database for performing genomic comparison on a specific organism is required. In this study, a set of suitable bioinformatics tools and a comprehensive database are designed and integrated for comparative analyses among eukaryotic algae species. Through cross-species comparison, the proposed system is able to retrieve homologous protein sequences and structures from collected algae species only. A matching technique based on secondary structure characteristics are designed for retrieving and aligning remote sequences in an efficient and effective approach. It is especially helpful and superior for protein sequences possessing low similarities and without any resolved structural information. To demonstrate the effective searching results, the homologous searching and keyword analysis for Cytochrome CYP450 enzymes is illustrated as an example to emphasize the importance of structural feature conservation among remote homologous organisms and to exploit the advantages of such characteristics for remote protein matching among algae species.
Relation: pp.753-758
URI: http://ntour.ntou.edu.tw/handle/987654321/27972
Appears in Collections:[資訊工程學系] 演講及研討會

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