Evidence map›Paper›PMID 24989865›Full record

ArticleInternational journal of bioinformatics research and applications2014

Finding consensus stable local optimal structures for aligned RNA sequences and its application to discovering riboswitch elements.

Yuan Li, Cuncong Zhong, Shaojie Zhang

Abstract read
In one paragraph

Article in International journal of bioinformatics research and applications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yuan LiDepartment of Electrical Engineering and Computer Science, University of Central Florida, Orlando, Florida 32816, USA.
Cuncong ZhongDepartment of Electrical Engineering and Computer Science, University of Central Florida, Orlando, Florida 32816, USA.
Shaojie ZhangDepartment of Electrical Engineering and Computer Science, University of Central Florida, Orlando, Florida 32816, USA.

Funding

RNA Structural Motif Analysis Revisited: Towards a Systematic Understanding of Noncoding RNA as Modular BiomoleculesR01GM102515 · NIGMS · UNIVERSITY OF CENTRAL FLORIDA · PI ZHANG, SHAOJIE, ZHONG, CUNCONG · 2012 to 2025
$2.3M
NIGMS NIH HHS R01 GM102515NIGMS NIH HHS R01GM102515
6 · The paper itself

Abstract

Many non-coding RNAs (ncRNAs) can fold into alternate native structures and perform different biological functions. The computational prediction of an ncRNA's alternate native structures can be conducted by analysing the ncRNA's energy landscape. Previously, we have developed a computational approach, RNASLOpt, to predict alternate native structures for a single RNA. In this paper, in order to improve the accuracy of the prediction, we incorporate structural conservation information among a family of related ncRNA sequences to the prediction. We propose a comparative approach, RNAConSLOpt, to produce all possible consensus SLOpt stack configurations that are conserved on the consensus energy landscape of a family of related ncRNAs. Benchmarking tests show that RNAConSLOpt can reduce the number of candidate structures compared with RNASLOpt, and can predict ncRNAs' alternate native structures accurately. Moreover, an application of the proposed pipeline to bacteria in Bacillus genus has discovered several novel riboswitch candidates.

Indexed as

AlgorithmsBacillus subtilisBase SequenceCluster AnalysisComputational BiologyGenome, BacterialModels, StatisticalMolecular Sequence DataMutationNucleic Acid ConformationRiboswitchRNARNA, BacterialSequence AlignmentSequence Analysis, RNASequence Homology, Nucleic AcidRiboswitchRNARNA, BacterialBacillus genusbacteriabioinformaticsncRNA sequencesnon–coding RNAsriboswitchRNA consensus secondary structuresRNA energy landscapeRNA sequence alignmentRNA stable local optimal structure

Identifiers

PMID24989865
PMCPMC4156590

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Registered trials

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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.