Title :
Multiple sequence alignment based on structural properties
Author :
Ozer, Bugra ; Gezici, Gizem ; Meydan, Cem ; Sezerman, Ugur
Author_Institution :
Fac. of Eng. & Natural Sci., Sabanci Univ., Istanbul, Turkey
Abstract :
A multiple sequence alignment (MSA) is a sequence alignment of three or more biological sequences. Main idea behind multiple sequence alignment is to see the similarities between input sequences, to be able to make phylogenetic analysis and other evolutionary conclusions. We propose a multiple sequence alignment method based on contact maps derived from structural data and network properties. We show that such methods may be useful in creating multiple alignments that can identify domains and similar structures where sequence identity is low.
Keywords :
bioinformatics; evolution (biological); genetics; molecular biophysics; proteins; biological sequence; contact map; evolutionary conclusion; multiple sequence alignment; phylogenetic analysis; sequence identity; Amino acids; Biology; Clustering algorithms; Coils; Dynamic programming; Phylogeny; Proteins; MSA; Multiple Sequence Alignment; cluster; graph properties;
Conference_Titel :
Health Informatics and Bioinformatics (HIBIT), 2010 5th International Symposium on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-5968-1
DOI :
10.1109/HIBIT.2010.5478910