Evidence map›Paper›PMID 41206035›Full record

ArticleNucleic acids research2025

Near-cognate tRNAs dominate codon decoding times in simulated ribosomes.

Fabio Hedayioglu, Emma J Hargreaves, Sathishkumar Kurusamy, James E D Thaventhiran, Anne E Willis, C Mark Smales, Tobias von der Haar

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. RNAViruses · 2026
    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

7 authors.

Fabio HedayiogluKent Fungal Group, School of Natural Sciences, University of Kent, Canterbury CT2 7NJ, United Kingdom.ORCID 0000-0003-0609-0054
Emma J HargreavesIndustrial Biotechnology Centre, School of Natural Sciences, University of Kent, Canterbury CT2 7NJ, United Kingdom.
Sathishkumar KurusamyIndustrial Biotechnology Centre, School of Natural Sciences, University of Kent, Canterbury CT2 7NJ, United Kingdom.
James E D ThaventhiranMRC Toxicology Unit, University of Cambridge, Tennis Court Rd, Cambridge CB2 1QR, United Kingdom.
Anne E WillisMRC Toxicology Unit, University of Cambridge, Tennis Court Rd, Cambridge CB2 1QR, United Kingdom.ORCID 0000-0002-1470-8531
C Mark SmalesIndustrial Biotechnology Centre, School of Natural Sciences, University of Kent, Canterbury CT2 7NJ, United Kingdom.ORCID 0000-0002-2762-4724
Tobias von der HaarKent Fungal Group, School of Natural Sciences, University of Kent, Canterbury CT2 7NJ, United Kingdom.ORCID 0000-0002-6031-9254

Funding

Biotechnology and Biological Sciences Research Council BB/X511158/1Medical Research Council MR/X502753/1Royal Society for an Industry Fellowship IF\R2\2320073University of Kent Impact Acceleration AccountsWellcome Trust 201487/Z/16/Z
6 · The paper itself

Abstract

The codon sequence of messenger RNAs affects ribosome dynamics, translational control, and transcript stability. Here, we describe an advanced computational modelling tool and its application to studying the effect of different tRNA species on the codon decoding process. Using tRNA abundance data for Saccharomyce cerevisiae, we show that simulated codon decoding times are sensitive to the abundance of near- and non-cognate tRNAs as well as cognate species. Codon decoding times predicted by models that accurately define near-cognate tRNAs and that are parameterized with high-quality tRNA abundance datasets are highly similar to ribosome dwell times determined using experimental ribosome footprinting data, thereby confirming both the importance of near-cognate tRNAs for the codon decoding process and the general accuracy of our modelling tools.

Indexed as

CodonProtein BiosynthesisRibosomesRNA, TransferComputer SimulationModels, GeneticRNA, MessengerSaccharomyces cerevisiaeCodonRNA, MessengerRNA, Transfer

Identifiers

PMID41206035
PMCPMC12596189

What Socratic 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 Socratic graph.