Evidence map›Paper›PMID 27185893›Full record

ArticleNucleic acids research2016

incaRNAfbinv: a web server for the fragment-based design of RNA sequences.

Matan Drory Retwitzer, Vladimir Reinharz, Yann Ponty, Jérôme Waldispühl, Danny Barash

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Partial RNA design.Bioinformatics (Oxford, England) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

5 authors.

Matan Drory RetwitzerDepartment of Computer Science, Ben-Gurion University, Beer-Sheva 84105, Israel.
Vladimir ReinharzSchool of Computer Science & McGill Centre for Bioinformatics, McGill University, Montréal, QC H3A 0E9, Canada.
Yann PontyLaboratoire d'Informatique (LIX)-CNRS UMR 7161, École Polytechnique, 91128 Palaiseau, France AMIB team/project, INRIA Saclay, Bâtiment Alan Turing, 91128 Palaiseau, France.
Jérôme WaldispühlSchool of Computer Science & McGill Centre for Bioinformatics, McGill University, Montréal, QC H3A 0E9, Canada.
Danny BarashDepartment of Computer Science, Ben-Gurion University, Beer-Sheva 84105, Israel dbarash@cs.bgu.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, new methods for computational RNA design have been developed and applied to various problems in synthetic biology and nanotechnology. Lately, there is considerable interest in incorporating essential biological information when solving the inverse RNA folding problem. Correspondingly, RNAfbinv aims at including biologically meaningful constraints and is the only program to-date that performs a fragment-based design of RNA sequences. In doing so it allows the design of sequences that do not necessarily exactly fold into the target, as long as the overall coarse-grained tree graph shape is preserved. Augmented by the weighted sampling algorithm of incaRNAtion, our web server called incaRNAfbinv implements the method devised in RNAfbinv and offers an interactive environment for the inverse folding of RNA using a fragment-based design approach. It takes as input: a target RNA secondary structure; optional sequence and motif constraints; optional target minimum free energy, neutrality and GC content. In addition to the design of synthetic regulatory sequences, it can be used as a pre-processing step for the detection of novel natural occurring RNAs. The two complementary methodologies RNAfbinv and incaRNAtion are merged together and fully implemented in our web server incaRNAfbinv, available at http://www.cs.bgu.ac.il/incaRNAfbinv.

Indexed as

Nucleic Acid ConformationRNA FoldingSoftwareAlgorithmsBase CompositionBase PairingBase SequenceComputer GraphicsInternetMutationRNASequence Analysis, RNAThermodynamicsRNA

Identifiers

PMID27185893
PMCPMC5741205

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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.