Distance matrix analysis of mutual secondary structure pairs for multiple structure alignment

DOI

10.2991/jcis.2008.90How to use a DOI?

Keywords

multiple structure alignment, secondary structure, geometrical correlation, distance matrix.

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  -