Evidence map›Paper›PMID 28971853›Full record

ArticleRNA (New York, N.Y.)2017

Slow molecular recognition by RNA.

Kristin R Gleitsman, Raghuvir N Sengupta, Daniel Herschlag

Open access · bronzeAbstract 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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

28 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Review
  3. Dynamics and Regulation of mRNA Cap Recognition by Human eIF4F.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Predicting Biomolecular Binding Kinetics: A Review.Journal of chemical theory and computation · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Approaches for measuring the dynamics of RNA-protein interactions.Wiley interdisciplinary reviews. RNA · 2020
    Review
  20. NMR Chemical Exchange Measurements Reveal ThatJournal of the American Chemical Society · 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 1 institution in 1 country.

Kristin R GleitsmanDepartment of Biochemistry, Stanford University, Stanford, California 94305, USA.
Raghuvir N SenguptaDepartment of Biochemistry, Stanford University, Stanford, California 94305, USA.
Daniel HerschlagDepartment of Biochemistry, Stanford University, Stanford, California 94305, USA.
Stanford University · US

Funding

Supplement to Enhance Wellness and Resiliency in the Graduate EnvironmentT32GM007276 · NIGMS · STANFORD UNIVERSITY · PI MORRISON, ASHBY J. · 1985 to 2023
$32.9M
Time-resolved small angle X-ray scatteringP01GM066275 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2003 to 2017
$17.8M
Enzymology of a Catalytic RNA MoleculeR37GM049243 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2002 to 2011
$4.2M
ENZYMOLOGY OF A CATALYTIC RNA MOLECULER01GM049243 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 1993 to 2016
$2.3M
NIGMS NIH HHS P01 GM066275NIGMS NIH HHS R01 GM049243NIGMS NIH HHS R37 GM049243NIGMS NIH HHS T32 GM007276
6 · The paper itself

Abstract

Molecular recognition is central to biological processes, function, and specificity. Proteins associate with ligands with a wide range of association rate constants, with maximal values matching the theoretical limit set by the rate of diffusional collision. As less is known about RNA association, we compiled association rate constants for all RNA/ligand complexes that we could find in the literature. Like proteins, RNAs exhibit a wide range of association rate constants. However, the fastest RNA association rates are considerably slower than those of the fastest protein associations and fall well below the diffusional limit. The apparently general observation of slow association with RNAs has implications for evolution and for modern-day biology. Our compilation highlights a quantitative molecular property that can contribute to biological understanding and underscores our need to develop a deeper physical understanding of molecular recognition events.

Indexed as

LigandsModels, MolecularNucleic Acid ConformationProtein BindingRNARNA-Binding ProteinsThermodynamicsLigandsRNARNA-Binding Proteinsbinding kineticsmolecular recognitionRNA structure

Identifiers

PMID28971853
PMCPMC5688996
OpenAlexW2760993491

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.