Evidence map›Paper›PMID 29446752›Full record

ArticleeLife2018

Allosteric mechanism of the

Siqi Tian, Wipapat Kladwang, Rhiju Das

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. De novo design of RNA pseudoknots with deep learning.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Incorporation of a FRET Pair into a Riboswitch RNA to Measure MgInternational journal of molecular sciences · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. RNA base-pairing complexity in living cells visualized by correlated chemical probing.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  13. Tracking RNA structures as RNAs transit through the cell.Nature structural & molecular biology · 2019
    Article
  14. Evaluating riboswitch optimality.Methods in enzymology · 2019
    Article
  15. Article
  16. High-throughput determination of RNA structures.Nature reviews. Genetics · 2018
    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

3 authors.

Siqi TianDepartment of Biochemistry, Stanford University, Stanford, United States.ORCID 0000-0001-5672-1032
Wipapat KladwangDepartment of Biochemistry, Stanford University, Stanford, United States.
Rhiju DasDepartment of Physics, Stanford University, Stanford, United States.ORCID 0000-0001-7497-0972

Funding

Next-generation computational/chemical methods for complex RNA structuresR35GM122579 · NIGMS · STANFORD UNIVERSITY · PI Rhiju Das · 2017 to 2026
$7.2M
Non-coding RNA Structure through a Mutate-and-Map StrategyR01GM102519 · NIGMS · STANFORD UNIVERSITY · PI DAS, RHIJU · 2012 to 2016
$1.5M
NIGMS NIH HHS R01 GM102519NIGMS NIH HHS R01GM102519NIGMS NIH HHS R35 GM122579NIGMS NIH HHS R35GM122579
6 · The paper itself

Abstract

The structural interconversions that mediate the gene regulatory functions of RNA molecules may be different from classic models of allostery, but the relevant structural correlations have remained elusive in even intensively studied systems. Here, we present a four-dimensional expansion of chemical mapping called lock-mutate-map-rescue (LM

Indexed as

Allosteric RegulationGene Expression Regulation, BacterialRiboswitchAdenineDNA Mutational AnalysisRNAVibrio vulnificusAdenineRiboswitchRNAallosterybiochemistrychemical biologycompensatory mutagenesisconformational ensemblenoneriboswitchsecondary structureSHAPE

Identifiers

PMID29446752
PMCPMC5847336

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.