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Predicting Translation Initiation Rates for Designing Synthetic Biology
In synthetic biology, precise control over protein expression is required in order to construct functional biological systems. A core principle of the synthetic biology approach is a model-guided design and based on the biological understanding of the process, models of prokaryotic protein productio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126478/ https://www.ncbi.nlm.nih.gov/pubmed/25152877 http://dx.doi.org/10.3389/fbioe.2014.00001 |
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author | Reeve, Benjamin Hargest, Thomas Gilbert, Charlie Ellis, Tom |
author_facet | Reeve, Benjamin Hargest, Thomas Gilbert, Charlie Ellis, Tom |
author_sort | Reeve, Benjamin |
collection | PubMed |
description | In synthetic biology, precise control over protein expression is required in order to construct functional biological systems. A core principle of the synthetic biology approach is a model-guided design and based on the biological understanding of the process, models of prokaryotic protein production have been described. Translation initiation rate is a rate-limiting step in protein production from mRNA and is dependent on the sequence of the 5′-untranslated region and the start of the coding sequence. Translation rate calculators are programs that estimate protein translation rates based on the sequence of these regions of an mRNA, and as protein expression is proportional to the rate of translation initiation, such calculators have been shown to give good approximations of protein expression levels. In this review, three currently available translation rate calculators developed for synthetic biology are considered, with limitations and possible future progress discussed. |
format | Online Article Text |
id | pubmed-4126478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-41264782014-08-22 Predicting Translation Initiation Rates for Designing Synthetic Biology Reeve, Benjamin Hargest, Thomas Gilbert, Charlie Ellis, Tom Front Bioeng Biotechnol Bioengineering and Biotechnology In synthetic biology, precise control over protein expression is required in order to construct functional biological systems. A core principle of the synthetic biology approach is a model-guided design and based on the biological understanding of the process, models of prokaryotic protein production have been described. Translation initiation rate is a rate-limiting step in protein production from mRNA and is dependent on the sequence of the 5′-untranslated region and the start of the coding sequence. Translation rate calculators are programs that estimate protein translation rates based on the sequence of these regions of an mRNA, and as protein expression is proportional to the rate of translation initiation, such calculators have been shown to give good approximations of protein expression levels. In this review, three currently available translation rate calculators developed for synthetic biology are considered, with limitations and possible future progress discussed. Frontiers Media S.A. 2014-01-20 /pmc/articles/PMC4126478/ /pubmed/25152877 http://dx.doi.org/10.3389/fbioe.2014.00001 Text en Copyright © 2014 Reeve, Hargest, Gilbert and Ellis. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Reeve, Benjamin Hargest, Thomas Gilbert, Charlie Ellis, Tom Predicting Translation Initiation Rates for Designing Synthetic Biology |
title | Predicting Translation Initiation Rates for Designing Synthetic Biology |
title_full | Predicting Translation Initiation Rates for Designing Synthetic Biology |
title_fullStr | Predicting Translation Initiation Rates for Designing Synthetic Biology |
title_full_unstemmed | Predicting Translation Initiation Rates for Designing Synthetic Biology |
title_short | Predicting Translation Initiation Rates for Designing Synthetic Biology |
title_sort | predicting translation initiation rates for designing synthetic biology |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126478/ https://www.ncbi.nlm.nih.gov/pubmed/25152877 http://dx.doi.org/10.3389/fbioe.2014.00001 |
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