Protein synthesis driven by dynamical stochastic transcription
Subcellular Processes
2020-07-30 v3 Probability
Biological Physics
Applications
Abstract
In this manuscript we propose a mathematical framework to couple transcription and translation in which mRNA production is described by a set of master equations while the dynamics of protein density is governed by a random differential equation. The coupling between the two processes is given by a stochastic perturbation whose statistics satisfies the master equations. In this approach, from the knowledge of the analytical time dependent distribution of mRNA number, we are able to calculate the dynamics of the probability density of the protein population.
Cite
@article{arxiv.1406.3089,
title = {Protein synthesis driven by dynamical stochastic transcription},
author = {Guilherme C. P. Innocentini and Michael Forger and Ovidiu Radulescu and Fernando Antoneli},
journal= {arXiv preprint arXiv:1406.3089},
year = {2020}
}
Comments
20 pages, 3 figures