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OSTIR: open source translation initiation rate prediction
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518832/ https://www.ncbi.nlm.nih.gov/pubmed/36177308 http://dx.doi.org/10.21105/joss.03362 |
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author | Roots, Cameron T. Lukasiewicz, Alexandra Barrick, Jeffrey E. |
author_facet | Roots, Cameron T. Lukasiewicz, Alexandra Barrick, Jeffrey E. |
author_sort | Roots, Cameron T. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9518832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-95188322022-09-28 OSTIR: open source translation initiation rate prediction Roots, Cameron T. Lukasiewicz, Alexandra Barrick, Jeffrey E. J Open Source Softw Article 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. 2021 2021-08-22 /pmc/articles/PMC9518832/ /pubmed/36177308 http://dx.doi.org/10.21105/joss.03362 Text en https://creativecommons.org/licenses/by/4.0/License Authors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Roots, Cameron T. Lukasiewicz, Alexandra Barrick, Jeffrey E. OSTIR: open source translation initiation rate prediction |
title | OSTIR: open source translation initiation rate prediction |
title_full | OSTIR: open source translation initiation rate prediction |
title_fullStr | OSTIR: open source translation initiation rate prediction |
title_full_unstemmed | OSTIR: open source translation initiation rate prediction |
title_short | OSTIR: open source translation initiation rate prediction |
title_sort | ostir: open source translation initiation rate prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518832/ https://www.ncbi.nlm.nih.gov/pubmed/36177308 http://dx.doi.org/10.21105/joss.03362 |
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