Evidence map›Paper›PMID 31714066›Full record

ArticleBiochemistry2019

Identification and Characterization of New RNA Tetraloop Sequence Families.

Katherine E Richardson, Miranda S Adams, Charles C Kirkpatrick, David W Gohara, Brent M Znosko

Abstract read
In one paragraph

Article in Biochemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Accurately Modeling RNA Stem-Loops in an Implicit Solvent Environment.Journal of chemical information and modeling · 2024
    Article
  4. Article
  5. General Strategies for RNA X-ray Crystallography.Molecules (Basel, Switzerland) · 2023
    Review
  6. Article
  7. 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

5 authors.

Katherine E RichardsonDepartment of Chemistry , Saint Louis University , Saint Louis , Missouri 63103 , United States.
Miranda S AdamsDepartment of Chemistry , Saint Louis University , Saint Louis , Missouri 63103 , United States.
Charles C KirkpatrickDepartment of Chemistry , Saint Louis University , Saint Louis , Missouri 63103 , United States.
David W GoharaDepartment of Biochemistry and Molecular Biology , Saint Louis University , Saint Louis , Missouri 63103 , United States.
Brent M ZnoskoDepartment of Chemistry , Saint Louis University , Saint Louis , Missouri 63103 , United States.ORCID 0000-0002-6823-6218

Funding

Understanding the Thermodynamics and Structure of RNA Secondary Structure MotifsR15GM085699 · NIGMS · SAINT LOUIS UNIVERSITY · PI ZNOSKO, BRENT · 2009 to 2025
$2.0M
NIGMS NIH HHS R15 GM085699
6 · The paper itself

Abstract

There is an abundance of RNA sequence information available due to the efforts of sequencing projects. However, current techniques implemented to solve the tertiary structures of RNA, such as NMR and X-ray crystallography, are difficult and time-consuming. Therefore, biophysical techniques are not able to keep pace with the abundance of sequence information available. Because of this, there is a need to develop quick and efficient ways to predict RNA tertiary structure from sequence. One promising approach is to identify structural patterns within previously solved 3D structures and apply these patterns to new sequences. RNA tetraloops are one of the most common naturally occurring secondary structure motifs. Here, we use RNA Characterization of Secondary Structure Motifs (CoSSMos), Dissecting the Spatial Structure of RNA (DSSR), and a bioinformatic approach to search for and characterize tertiary structure patterns among tetraloops. Not surprising, we identified the well-known GNRA and UNCG tetraloops, as well as the previously identified RNYA tetraloop. However, some previously identified characteristics of these families were not observed in this data set, and some new characteristics were identified. In addition, we also identified and characterized three new tetraloop sequence families: YGAR, UGGU, and RMSA. This new structural information sheds light on the tertiary structure of tetraloops and contributes to the efforts of RNA tertiary structure prediction from sequence.

Indexed as

Crystallography, X-RayModels, MolecularMultigene FamilyNucleic Acid ConformationNucleotide MotifsRNARNA

Identifiers

PMID31714066
PMCPMC7745247

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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.