Star3D: A Stack-Based Rna 3D Structural Alignment Tool
Abstract
The various roles of versatile non-coding RNAs typically require the attainment of complex high-order structures. Therefore, comparing the 3D structures of RNA molecules can yield in-depth understanding of their functional conservation and evolutionary history. Recently, many powerful tools have been developed to align RNA 3D structures. Although some methods rely on both backbone conformations and base pairing interactions, none of them consider the entire hierarchical formation of the RNA secondary structure. One of the major issues is that directly applying the algorithms of matching 2D structures to the 3D coordinates is particularly time-consuming. In this article, we propose a novel RNA 3D structural alignment tool, STAR3D, to take into full account the 2D relations between stacks without the complicated comparison of secondary structures. First, the 3D conserved stacks in the inputs are identified and then combined into a tree-like consensus. Afterward, the loop regions are compared one-to-one in accordance with their relative positions in the consensus tree. The experimental results show that the prediction of STAR3D is more accurate for both non-homologous and homologous RNAs than other state-of-the-art tools with shorter running time.
Publication Date
6-26-2015
Publication Title
Nucleic Acids Research
Volume
43
Issue
20
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1093/nar/gkv697
Copyright Status
Unknown
Socpus ID
84950156157 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84950156157
STARS Citation
Ge, Ping and Zhang, Shaojie, "Star3D: A Stack-Based Rna 3D Structural Alignment Tool" (2015). Scopus Export 2015-2019. 111.
https://stars.library.ucf.edu/scopus2015/111