Evidence map›Paper›PMID 31239056›Full record

ArticleMethods in enzymology2019

Evaluating riboswitch optimality.

Hannah Wayment-Steele, Michelle Wu, Michael Gotrik, Rhiju Das

Abstract read
In one paragraph

Article in Methods in enzymology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. 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

4 authors.

Hannah Wayment-SteeleDepartment of Chemistry, Stanford University, Stanford, CA, United States.
Michelle WuProgram in Biomedical Informatics, Stanford University, Stanford, CA, United States.
Michael GotrikDepartment of Biochemistry, Stanford University, Stanford, CA, United States.
Rhiju DasDepartment of Biochemistry, Stanford University, Stanford, CA, United States; Department of Physics, Stanford University, Stanford, CA, United States. Electronic address: rhiju@stanford.edu.

Funding

Next-generation computational/chemical methods for complex RNA structuresR35GM122579 · NIGMS · STANFORD UNIVERSITY · PI Rhiju Das · 2017 to 2026
$7.2M
NIGMS NIH HHS R35 GM122579
6 · The paper itself

Abstract

Riboswitches are RNA elements that recognize diverse chemical and biomolecular inputs, and transduce this recognition process to genetic, fluorescent, and other engineered outputs using RNA conformational changes. These systems are pervasive in cellular biology and are a promising biotechnology with applications in genetic regulation and biosensing. Here, we derive a simple expression bounding the activation ratio-the proportion of RNA in the active vs. inactive states-for both ON and OFF riboswitches that operate near thermodynamic equilibrium: 1+[I]/K

Indexed as

RiboswitchAptamers, NucleotideBiosensing TechniquesLigandsNucleic Acid ConformationRNA FoldingThermodynamicsAptamers, NucleotideLigandsRiboswitchAptamerBiosensorGenetic regulationOptimalityRiboswitchRNAThermodynamic model

Identifiers

PMID31239056
PMCPMC7644385

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.