Evidence map›Paper›PMID 28213527›Full record

ArticleRNA (New York, N.Y.)2017

Advancing viral RNA structure prediction: measuring the thermodynamics of pyrimidine-rich internal loops.

Andy Phan, Katherine Mailey, Jessica Saeki, Xiaobo Gu, Susan J Schroeder

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 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. Article
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  4. Review
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  8. 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.

Andy PhanDepartment of Chemistry and Biochemistry.
Katherine MaileyDepartment of Chemistry and Biochemistry.
Jessica SaekiDepartment of Chemistry and Biochemistry.
Xiaobo GuDepartment of Chemistry and Biochemistry.
Susan J SchroederDepartment of Chemistry and Biochemistry susan.schroeder@ou.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate thermodynamic parameters improve RNA structure predictions and thus accelerate understanding of RNA function and the identification of RNA drug binding sites. Many viral RNA structures, such as internal ribosome entry sites, have internal loops and bulges that are potential drug target sites. Current models used to predict internal loops are biased toward small, symmetric purine loops, and thus poorly predict asymmetric, pyrimidine-rich loops with >6 nucleotides (nt) that occur frequently in viral RNA. This article presents new thermodynamic data for 40 pyrimidine loops, many of which can form UU or protonated CC base pairs. Uracil and protonated cytosine base pairs stabilize asymmetric internal loops. Accurate prediction rules are presented that account for all thermodynamic measurements of RNA asymmetric internal loops. New loop initiation terms for loops with >6 nt are presented that do not follow previous assumptions that increasing asymmetry destabilizes loops. Since the last 2004 update, 126 new loops with asymmetry or sizes greater than 2 × 2 have been measured. These new measurements significantly deepen and diversify the thermodynamic database for RNA. These results will help better predict internal loops that are larger, pyrimidine-rich, and occur within viral structures such as internal ribosome entry sites.

Indexed as

ThermodynamicsBase PairingCytosineDatabases, Nucleic AcidNucleic Acid ConformationPyrimidinesRNA, ViralUracilCytosinePyrimidinesRNA, ViralUracilinternal ribosome entry sitepyrimidine-rich internal loopsRNA secondary structure predictionthermodynamicsviral RNA

Identifiers

PMID28213527
PMCPMC5393185

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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.