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Updated: Jan 11, 2026

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
Published on: February 18, 2022
Near-cognate tRNAs dominate codon decoding times in simulated ribosomes
Fabio Hedayioglu1, Emma J Hargreaves2, Sathishkumar Kurusamy2
1Kent Fungal Group, School of Natural Sciences, University of Kent, Canterbury CT2 7NJ, United Kingdom.
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.
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