title: RNA structural motif recognition based on least-squares distance.
abstract: RNA structural motifs are recurrent structural elements occurring in RNA molecules. RNA structural motif recognition aims to find RNA substructures that are similar to a query motif, and it is important for RNA structure analysis and RNA function prediction. In view of this, we propose a new method known as RNA Structural Motif Recognition based on Least-Squares distance (LS-RSMR) to effectively recognize RNA structural motifs. A test set consisting of five types of RNA structural motifs occurring in Escherichia coli ribosomal RNA is compiled by us. Experiments are conducted for recognizing these five types of motifs. The experimental results fully reveal the superiority of the proposed LS-RSMR compared with four other state-of-the-art methods.
authors.affiliation: School of Software Engineering, Tongji University, Shanghai 200092, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Shen
authors.forename: Hau-San
authors.initials: HS
authors.lastname: Wong
authors.forename: Shaohong
authors.initials: S
authors.lastname: Zhang
authors.forename: Lin
authors.initials: L
authors.lastname: Zhang
mesh_terms: D004926:Escherichia coli / Q000235:genetics; D016018:Least-Squares Analysis; D008958:Models, Molecular; D059372:Nucleotide Motifs; D012313:RNA / Q000737:chemistry* / Q000235:genetics; D012329:RNA, Bacterial / Q000737:chemistry; D012335:RNA, Ribosomal / Q000737:chemistry / Q000235:genetics
chemical_list: D012329:RNA, Bacterial; D012335:RNA, Ribosomal; D012313:RNA
keywords: RNA motif recognition; RNA structural motif