Evidence map›Paper›PMID 27185896›Full record

ArticleNucleic acids research2016

iPARTS2: an improved tool for pairwise alignment of RNA tertiary structures, version 2.

Chung-Han Yang, Cheng-Ting Shih, Kun-Tze Chen, Po-Han Lee, Ping-Han Tsai, Jian-Cheng Lin, Ching-Yu Yen, Tiao-Yin Lin, Chin Lung Lu

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chung-Han YangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 30050, Taiwan Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 30050, Taiwan.
Cheng-Ting ShihDepartment of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Kun-Tze ChenDepartment of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Po-Han LeeDepartment of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Ping-Han TsaiDepartment of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Jian-Cheng LinDepartment of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Ching-Yu YenDepartment of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Tiao-Yin LinDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu 30050, Taiwan.
Chin Lung LuDepartment of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan cllu@cs.nthu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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/.

Indexed as

Models, StatisticalMolecular ConformationNucleic Acid ConformationUser-Computer InterfaceAlgorithmsBase PairingComputer GraphicsInternetNucleotide MotifsProkaryotic CellsRNARNA FoldingSequence AlignmentSequence Analysis, RNASequence Homology, Nucleic AcidRNA

Identifiers

PMID27185896
PMCPMC4987943

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.