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RNA structure alignment by a unit-vector approach
Author(s) -
Emidio Capriotti,
Marc A. MartíRenom
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn288
Subject(s) - rna , computer science , pairwise comparison , nucleic acid structure , nucleic acid secondary structure , computational biology , algorithm , benchmark (surveying) , set (abstract data type) , structural alignment , theoretical computer science , artificial intelligence , sequence alignment , biology , genetics , programming language , geodesy , gene , peptide sequence , geography
The recent discovery of tiny RNA molecules such as microRNAs and small interfering RNA are transforming the view of RNA as a simple information transfer molecule. Similar to proteins, the native three-dimensional structure of RNA determines its biological activity. Therefore, classifying the current structural space is paramount for functionally annotating RNA molecules. The increasing numbers of RNA structures deposited in the PDB requires more accurate, automatic and benchmarked methods for RNA structure comparison. In this article, we introduce a new algorithm for RNA structure alignment based on a unit-vector approach. The algorithm has been implemented in the SARA program, which results in RNA structure pairwise alignments and their statistical significance.

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