Evidence map›Paper›PMID 29985608›Full record

ArticleThe journal of physical chemistry. B2018

Predicting Cotranscriptional Folding Kinetics For Riboswitch.

Ting-Ting Sun, Chenhan Zhao, Shi-Jie Chen

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Computational modeling of cotranscriptional RNA folding.Computational and structural biotechnology journal · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Landscape Zooming toward the Prediction of RNA Cotranscriptional Folding.Journal of chemical theory and computation · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Evaluating riboswitch optimality.Methods in enzymology · 2019
    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

3 authors at 2 institutions in 2 countries.

Ting-Ting SunDepartment of Physics , Zhejiang University of Science and Technology , Hangzhou 310023 , P. R. China.
Chenhan ZhaoDepartment of Physics, Department of Biochemistry, and University of Missouri Informatics Institute , University of Missouri , Columbia , Missouri 65211 , United States.
Shi-Jie ChenDepartment of Physics, Department of Biochemistry, and University of Missouri Informatics Institute , University of Missouri , Columbia , Missouri 65211 , United States.ORCID 0000-0002-8093-7244
University of Missouri · USZhejiang University of Science and Technology · CN

Funding

Statistical Mechanics of RNA FoldingR01GM063732 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI CHEN, SHI-JIE · 2003 to 2018
$3.2M
New computational tools for predicting ion effects in RNA structuresR01GM117059 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI CHEN, SHI-JIE · 2017 to 2020
$1.2M
NIGMS NIH HHS R01 GM063732NIGMS NIH HHS R01 GM117059
6 · The paper itself

Abstract

On the basis of a helix-based transition rate model, we developed a new method for sampling cotranscriptional RNA conformational ensemble and the prediction of cotranscriptional folding kinetics. Applications to E. coli. SRP RNA and pbuE riboswitch indicate that the model may provide reliable predictions for the cotranscriptional folding pathways and population kinetics. For E. coli. SRP RNA, the predicted population kinetics and the folding pathway are consistent with the SHAPE profiles in the recent cotranscriptional SHAPE-seq experiments. For the pbuE riboswitch, the model predicts the transcriptional termination efficiency as a function of the force. The theoretical results show (a) a force-induced transition from the aptamer (antiterminator) to the terminator structure and (b) the different folding pathways for the riboswitch with and without the ligand (adenine). More specifically, without adenine, the aptamer structure emerges as a short-lived kinetic transient state instead of a thermodynamically stable intermediate state. Furthermore, from the predicted extension-time curves, the model identifies a series of conformational switches in the pulling process, where the predicted relative residence times for the different structures are in accordance with the experimental data. The model may provide a new tool for quantitative predictions of cotranscriptional folding kinetics, and results can offer useful insights into cotranscriptional folding-related RNA functions such as regulation of gene expression with riboswitches.

Indexed as

RiboswitchAptamers, NucleotideEscherichia coliKineticsModels, MolecularNucleic Acid ConformationRNA FoldingRNA StabilityThermodynamicsAptamers, NucleotideRiboswitch

Identifiers

PMID29985608
PMCPMC6345277
OpenAlexW2866958960

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.