Distance matrix analysis of mutual secondary structure pairs for multiple structure alignment
Chiang-Man Sun1, Tun-Wen Pai, Jen-Chun Hung, Ying-Tsang Lo, Po-Hung Chen
1National Taiwan Ocean University
Available Online December 2008.
- 10.2991/jcis.2008.90How to use a DOI?
- multiple structure alignment, secondary structure, geometrical correlation, distance matrix.
The main goal of the proposed system is to enhance the mutual correlation of sec-ondary structure element (SSE) pairs for multiple structure alignment. The algo-rithm utilizes the local matching advan-tages 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 evi-dently increased in those proteins which possess low sequence identity.
- © 2008, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chiang-Man Sun AU - Tun-Wen Pai AU - Jen-Chun Hung AU - Ying-Tsang Lo AU - Po-Hung Chen PY - 2008/12 DA - 2008/12 TI - Distance matrix analysis of mutual secondary structure pairs for multiple structure alignment BT - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008) PB - Atlantis Press SP - 533 EP - 538 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.90 DO - 10.2991/jcis.2008.90 ID - Sun2008/12 ER -