arrow
Return

Multiple alignment through protein secondary-structure information

delete2005-09-01
delete1
PRE
AI
G
Giuliano Armano
L
Luciano Milanesi
A
Alessandro Orro
DOI:10.1109/TNB.2005.853644delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
It is well known that protein secondary-structure information can help the process of performing multiple alignment, in particular when the amount of similarity among the involved sequences moves toward the twilight zone (less than 30% of pairwise similarity). In this paper, a multiple alignment algorithm is presented, explicitly designed for exploiting any available secondary-structure information. A layered architecture with two interacting levels has been defined for dealing with both primary- and secondary-structure information of target sequences. Secondary structure (either available or predicted by resorting to a technique based on multiple experts) is used to calculate an initial alignment at the secondary level, to be arranged by locally scoped operators devised to refine the alignment at the primary level. Aimed at evaluating the impact of secondary information on the quality of alignments, in particular alignments with a low degree of similarity, the technique has been implemented and assessed on relevant test cases.
Keywords:
protein multiple alignment
protein secondary-structure prediction

Journal

IEEE Transactions on Nanobioscience cover
IEEE Transactions on Nanobioscience
IF:
4.4
Papers:
1.4K
Citations:
2.5K

Organization

No organization information available