A two-state ribosome and protein model can robustly capture the chemical reaction dynamics of gene expression

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Title A two-state ribosome and protein model can robustly capture the chemical reaction dynamics of gene expression
Authors Ayush Pandey, Richard M Murray
Source 2020 Winter q-bio
Abstract We derive phenomenological models of gene expression from a mechanistic description of chemical reactions using an automated model reduction method. Using this method, we get analytical descriptions and computational performance guarantees to compare the reduced dynamics with the full models. We develop a new two-state model with the dynamics of the available free ribosomes in the system and the protein concentration. We show that this new two-state model captures the detailed mass-action kinetics of the chemical reaction network under various biologically plausible conditions on model parameters. On comparing the performance of this model with the commonly used mRNA transcript-protein dynamical model for gene expression, we analytically show that the free ribosome and protein model has superior error and robustness performance.
Type Conference paper
URL https://www.biorxiv.org/content/biorxiv/early/2020/11/26/2020.11.25.399287.full.pdf
Tag PM21-wqbio
ID 2020c
Funding DARPA BioCon
Flags