Title
Structural Alignment of Pseudoknotted RNA
Abstract
In this paper, we address the problem of discovering novel non-coding RNA (ncRNA) using primary sequence, and secondary structure conservation, focusing on ncRNA families with pseudo-knotted structures. Our main technical result is an efficient algorithm for computing an optimum structural alignment of an RNA sequence against a genomic substring. This algorithm finds two appli- cations. First, by scanning a genome, we can identify novel (homologous) pseu- doknotted ncRNA, and second, we can infer the secondary structure of the target aligned sequence. We test an implementation of our algorithm (PAL), and show that it has near-perfect behavior for predicting the structure of many known pseu- doknots. Additionally, it can detect the true homologs with high sensitivity and specificity in controlled tests. We also use PAL to search entire viral genome and mouse genome for novel homologs of some viral, and eukaryotic pseudoknots respectively. In each case, we have found strong support for novel homologs.
Year
DOI
Venue
2006
10.1007/11732990_13
Research in Computational Molecular Biology
Keywords
DocType
Volume
entire viral genome,pseudo-knotted structure,rna sequence,novel homologs,secondary structure,pseudoknotted ncrna,ncrna family,structural alignment,primary sequence,efficient algorithm,pseudoknotted rna,mouse genome,structure alignment,non coding rna
Conference
3909
ISSN
ISBN
Citations 
0302-9743
3-540-33295-2
10
PageRank 
References 
Authors
0.62
13
4
Name
Order
Citations
PageRank
Banu Dost1925.09
Buhm Han2508.89
Shaojie Zhang320328.81
Vineet Bafna41967226.80