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iPARTS2: an improved tool for pairwise alignment of RNA tertiary structures, version 2.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2016 Jul 08; Vol. 44 (W1), pp. W328-32. Date of Electronic Publication: 2016 May 16. - Publication Year :
- 2016
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Abstract
- Since its first release in 2010, iPARTS has become a valuable tool for globally or locally aligning two RNA 3D structures. It was implemented by a structural alphabet (SA)-based approach, which uses an SA of 23 letters to reduce RNA 3D structures into 1D sequences of SA letters and applies traditional sequence alignment to these SA-encoded sequences for determining their global or local similarity. In this version, we have re-implemented iPARTS into a new web server iPARTS2 by constructing a totally new SA, which consists of 92 elements with each carrying both information of base and backbone geometry for a representative nucleotide. This SA is significantly different from the one used in iPARTS, because the latter consists of only 23 elements with each carrying only the backbone geometry information of a representative nucleotide. Our experimental results have shown that iPARTS2 outperforms its previous version iPARTS and also achieves better accuracy than other popular tools, such as SARA, SETTER and RASS, in RNA alignment quality and function prediction. iPARTS2 takes as input two RNA 3D structures in the PDB format and outputs their global or local alignments with graphical display. iPARTS2 is now available online at http://genome.cs.nthu.edu.tw/iPARTS2/.<br /> (© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Subjects :
- Algorithms
Base Pairing
Computer Graphics
Internet
Nucleotide Motifs
Prokaryotic Cells metabolism
RNA genetics
RNA Folding
Sequence Alignment
Sequence Analysis, RNA
Sequence Homology, Nucleic Acid
Models, Statistical
Molecular Conformation
Nucleic Acid Conformation
RNA chemistry
User-Computer Interface
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 44
- Issue :
- W1
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 27185896
- Full Text :
- https://doi.org/10.1093/nar/gkw412