ArticlePLoS computational biology2023
Modelling ribosome kinetics and translational control on dynamic mRNA.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Nanopore direct RNA sequencing (DRS) of MS2 bacteriophages in E. coli throughout its life cycles reveals a complex transcriptional activity to control and maintain its growth.Virology journal · 2026Article
- Resolving emergent transient oscillations in gene circuits with a growth-coupled model.Science advances · 2026Article
- Measuring the selective packaging of RNA molecules by viral coat proteins in cells.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- An empirical model of aminoacylation kinetics for E. coli class I and II aminoacyl tRNA synthetases.PLoS computational biology · 2025Article
- Evaluation of Translation Rate Through L-azidohomoalanine (AHA) Incorporation and Subsequent Alkyne Fluorophore-Mediated Click Chemistry in Yeast.Bio-protocol · 2025Article
- Design of a self-regulating mRNA gene circuit.Scientific reports · 2024Article
- Decomposing bulk signals to reveal hidden information in processive enzyme reactions: A case study in mRNA translation.PLoS computational biology · 2024Article
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Authors and funding
1 author.
Funding
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Abstract
The control of protein synthesis and the overall levels of various proteins in the cell is critical for achieving homoeostasis. Regulation of protein levels can occur at the transcriptional level, where the total number of messenger RNAs in the overall transcriptome are controlled, or at the translational level, where interactions of proteins and ribosomes with the messenger RNA determine protein translational efficiency. Although transcriptional control of mRNA levels is the most commonly used regulatory control mechanism in cells, positive-sense single-stranded RNA viruses often utilise translational control mechanisms to regulate their proteins in the host cell. Here I detail a computational method for stochastically simulating protein synthesis on a dynamic messenger RNA using the Gillespie algorithm, where the mRNA is allowed to co-translationally fold in response to ribosome movement. Applying the model to the test case of the bacteriophage MS2 virus, I show that the models ability to accurately reproduce experimental measurements of coat protein production and translational repression of the viral RNA dependant RNA polymerase at high coat protein concentrations. The computational techniques reported here open up the potential to examine the infection dynamics of a ssRNA virus in a host cell at the level of the genomic RNA, as well as examine general translation control mechanisms present in polycistronic mRNAs.
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Registered trials
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.