Litcius/Paper detail

OSTIR: open source translation initiation rate prediction

Cameron T. Roots, Alexandra J. Lukasiewicz, Jeffrey E. Barrick

2021The Journal of Open Source Software19 citationsDOIOpen Access PDF

Abstract

Translation of messenger RNAs into proteins by the ribosome is a fundamental step in gene expression. In bacteria, it is possible to accurately predict the rate of translation initiation from the sequence surrounding a gene's start codon using thermodynamic models of RNA folding and ribosome binding. These predictions have applications in a range of fields, from systems biology studies that aim to understand and model bacterial physiology to synthetic biology studies that seek to reprogram bacterial cells. For example, metabolic engineers can design ribosome binding site (RBS) sequences to tune the expression of different enzymes in a pathway and thereby optimize the production of a desired chemical compound by cells. OSTIR (Open Source Translation Initiation Rates) is a Python package and command line tool for predicting translation initiation rates in bacteria.

Topics & Concepts

Synthetic biologyRibosomeTranslation (biology)Ribosomal binding siteComputational biologyEukaryotic translationProtein biosynthesisRibosome profilingMessenger RNABiologyStart codonPython (programming language)RNAGeneComputer scienceGeneticsProgramming languageRNA and protein synthesis mechanismsRNA modifications and cancerGenomics and Phylogenetic Studies