Evidence map›Paper›PMID 30474081›Full record

ArticleIAENG international journal of computer science2017

Partitioning and Classification of RNA Secondary Structures into Pseudonotted and Pseudoknot-free Regions Using a Graph-Theoretical Approach.

Louis Petingi, Tamar Schlick

Abstract read
In one paragraph

Article in IAENG international journal of computer science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Evolution of coronavirus frameshifting elements: Competing stem networks explain conservation and variability.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Adventures with RNA graphs.Methods (San Diego, Calif.) · 2018
    Review
  8. 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

2 authors.

Louis PetingiDepartment of Computer Science, College of Staten Island, City University of New York, Staten Island, NY, USA, louis.petingi@csi.cuny.edu.
Tamar SchlickDepartment of Chemistry, and Courant Institute of Mathematical Sciences, New York University, New York, NY, USA, schlick@nyu.edu.

Funding

Modeling RNA Tertiary Structure Folding by a Hierarchical FrameworkR01GM100469 · NIGMS · NEW YORK UNIVERSITY · PI SCHLICK, TAMAR · 2011 to 2014
$1.5M
Telluride Workshop on Challenges in RNA Structural Modeling and DesignR13GM112216 · NIGMS · NEW YORK UNIVERSITY · PI PYLE, ANNA MARIE, SCHLICK, TAMAR · 2014 to 2016
$10k
NIGMS NIH HHS R01 GM100469NIGMS NIH HHS R13 GM112216
6 · The paper itself

Abstract

Dual graphs have been applied to model RNA secondary structures with pseudoknots, or intertwined base pairs. In this paper we present a linear-time algorithm to partition dual graphs into maximal topological components called blocks and determine whether each block contains a pseudoknot or not. We show that a block contains a pseudoknot if and only if the block has a vertex of degree 3 or more; this characterization allows us to efficiently isolate smaller RNA fragments and classify them as pseudoknotted or pseudoknot-free regions, while keeping these sub-structures intact. Applications to RNA design can be envisioned since modular building blocks with intact pseudoknots can be combined to form new constructs.

Indexed as

graph theorypseudoknotsRNAs secondary structures

Identifiers

PMID30474081
PMCPMC6250053

What OpenQuestion holds

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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.