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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27798

Title: Distance matrix analysis of mutual secondary structure pairs for multiple structure alignment
Authors: Chiang-Man Sun;Tun-Wen Pai;Jen-Chun Hung;Ying-Tsang Lo;Po-Hung Chen
Contributors: NTOU:Department of Computer Science and Engineering
Keywords: multiple structure alignment;secondary structure;geometrical correlation;distance matrix
Date: 2008
Issue Date: 2011-10-21T02:34:03Z
Publisher: the 11th Joint Conference on Information Science and the 8th Atlantic Symposium on Computational Biology and Genome Informatics (CBGI 2008)
Abstract: Abstract:The main goal of the proposed system is to enhance the mutual correlation of secondary structure element (SSE) pairs for multiple structure alignment. The algorithm utilizes the local matching advantages through distance matrix approach to extract suitable candidates of SSE pairs. The similarity scores of compared distance matrices of mutual SSE pairs were calculated and ranked to decide representative segments as key anchors for multiple structure alignment. This strategy solves the misalignment problems caused by large number of SSEs in a protein structure in previous system. In this study, the experimental results showed the hitting scores are evidently increased in those proteins which possess low sequence identity.
Relation: pp.1-6
URI: http://ntour.ntou.edu.tw/handle/987654321/27798
Appears in Collections:[資訊工程學系] 演講及研討會

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