Evidence map›Paper›PMID 24689688›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2014

Simultaneous folding of alternative RNA structures with mutual constraints: an application to next-generation sequencing-based RNA structure probing.

Cuncong Zhong, Shaojie Zhang

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 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. Review
  2. How to find RNA thermometers.Frontiers in cellular and infection microbiology · 2014
    Review
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

2 authors.

Cuncong ZhongDepartment of Electrical Engineering and Computer Science, University of Central Florida , Orlando, Florida.
Shaojie Zhang

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

Recent advances in next-generation sequencing technology have significantly promoted high-throughput experimental probing of RNA secondary structures. The resulting enzymatic or chemical probing information is then incorporated into a minimum free energy folding algorithm to predict more accurate RNA secondary structures. A drawback of this approach is that it does not consider the presence of alternative RNA structures. In addition, the alternative RNA structures may contaminate experimental probing information of each other and direct the minimum free-energy folding to a wrong direction. In this article, we present a combinatorial solution for this problem, where two alternative structures can be folded simultaneously given the experimental probing information regarding the mixture of these two alternative structures. We have tested our algorithm with artificially generated mixture probing data on adenine riboswitch and thiamine pyrophosphate (TPP) riboswitch. The experimental results show that our algorithm can successfully recover the ON and OFF structures of these riboswitches.

Indexed as

RiboswitchRNA FoldingAdenineBase SequenceHigh-Throughput Nucleotide SequencingMolecular Sequence DataNucleic Acid ConformationRNAThiamine PyrophosphateAdenineRiboswitchRNAThiamine Pyrophosphatehigh-throughput RNA structure probingnext-generation sequencingRNA alternative structuresRNA foldingRNA SHAPE chemistry

Identifiers

PMID24689688
PMCPMC4116156

What OpenQuestion holds

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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.