ArticlePLoS computational biology2020
Whole cell biophysical modeling of codon-tRNA competition reveals novel insights related to translation dynamics.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Availability of Charged tRNAs Drives Maximal Protein Synthesis at Intermediate Levels of Codon Usage Bias.Bulletin of mathematical biology · 2026Article
- Deciphering plasmid replication dynamics: a computational approach to predict ColE1-like plasmid copy number.Journal of the Royal Society, Interface · 2025Article
- tRNA regulation and amino acid usage bias reflect a coordinated metabolic adaptation iniScience · 2024Article
- Specific codons control cellular resources and fitness.Science advances · 2024Article
- spotter: a single-nucleotide resolution stochastic simulation model of supercoiling-mediated transcription and translation in prokaryotes.Nucleic acids research · 2023Article
- Whole-cell modeling of E. coli confirms that in vitro tRNA aminoacylation measurements are insufficient to support cell growth and predicts a positive feedback mechanism regulating arginine biosynthesis.Nucleic acids research · 2023Article
- Article
- Global and gene-specific translational regulation in Escherichia coli across different conditions.PLoS computational biology · 2022Article
- Review: Emerging roles of the signaling network of the protein kinase GCN2 in the plant stress response.Plant science : an international journal of experimental plant biology · 2022Review
- Accelerating Whole-Cell Simulations of mRNA Translation Using a Dedicated Hardware.ACS synthetic biology · 2021Article
- What determines eukaryotic translation elongation: recent molecular and quantitative analyses of protein synthesis.Open biology · 2020Review
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2 authors.
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Abstract
The importance of mRNA translation models has been demonstrated across many fields of science and biotechnology. However, a whole cell model with codon resolution and biophysical dynamics is still lacking. We describe a whole cell model of translation for E. coli. The model simulates all major translation components in the cell: ribosomes, mRNAs and tRNAs. It also includes, for the first time, fundamental aspects of translation, such as competition for ribosomes and tRNAs at a codon resolution while considering tRNAs wobble interactions and tRNA recycling. The model uses parameters that are tightly inferred from large scale measurements of translation. Furthermore, we demonstrate a robust modelling approach which relies on state-of-the-art practices of translation modelling and also provides a framework for easy generalizations. This novel approach allows simulation of thousands of mRNAs that undergo translation in the same cell with common resources such as ribosomes and tRNAs in feasible time. Based on this model, we demonstrate, for the first time, the direct importance of competition for resources on translation and its accurate modelling. An effective supply-demand ratio (ESDR) measure, which is related to translation factors such as tRNAs, has been devised and utilized to show superior predictive power in complex scenarios of heterologous gene expression. The devised model is not only more accurate than the existing models, but, more importantly, provides a framework for analyzing complex whole cell translation problems and variables that haven't been explored before, making it important in various biomedical fields.
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