A stochastic model for simulating ribosome kinetics in vivo.

ABSTRACT: Computational modelling of in vivo protein synthesis is highly complicated, as it requires the simulation of ribosomal movement over the entire transcriptome, as well as consideration of the concentration effects from 40+ different types of tRNAs and numerous other protein factors. Here I report on the development of a stochastic model for protein translation that is capable of simulating the dynamical process of in vivo protein synthesis in a prokaryotic cell containing several thousand unique mRNA sequences, with explicit nucleotide information for each, and report on a number of biological predictions which are beyond the scope of existing models. In particular, I show that, when the complex network of concentration dependent interactions between elongation factors, tRNAs, ribosomes, an

SUBMITTER: Dykeman EC 

PROVIDER: S-EPMC7015319 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature