Evidence map›Paper›PMID 23160142›Full record

ArticleJournal of theoretical biology2013

Information-theoretic uncertainty of SCFG-modeled folding space of the non-coding RNA.

Amirhossein Manzourolajdad, Yingfeng Wang, Timothy I Shaw, Russell L Malmberg

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Amirhossein ManzourolajdadInstitute of Bioinformatics, University of Georgia, Davison Life Sciences Bldg, Room B118B, 120 Green St, Athens, GA 30602, USA. amanzour@uga.edu
Yingfeng Wang
Timothy I Shaw
Russell L Malmberg

Funding

Searching Genomes for Non-Coding RNAs by Their StructureR01GM072080 · NIGMS · UNIVERSITY OF GEORGIA · PI CAI, LIMING · 2006 to 2009
$867k
NIGMS NIH HHS R01 GM072080NIGMS NIH HHS R01GM072080-01A1
6 · The paper itself

Abstract

unlabelledRNA secondary structure ensembles define probability distributions for alternative equilibrium secondary structures of an RNA sequence. Shannon's entropy is a measure for the amount of diversity present in any ensemble. In this work, Shannon's entropy of the SCFG ensemble on an RNA sequence is derived and implemented in polynomial time for both structurally ambiguous and unambiguous grammars. Micro RNA sequences generally have low folding entropy, as previously discovered. Surprisingly, signs of significantly high folding entropy were observed in certain ncRNA families. More effective models coupled with targeted randomization tests can lead to a better insight into folding features of these families. AVAILABILITY: URL http://www.plantbio.uga.edu/~russell/index.php?s=1&n=5&r=0.

Indexed as

Models, GeneticAlgorithmsAnimalsBase SequenceEntropyMicroRNAsProtein Structure, SecondaryRiboswitchRNA FoldingRNA, UntranslatedMicroRNAsRiboswitchRNA, Untranslated

Identifiers

PMID23160142
PMCPMC3538908

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.