Full design automation of multi-state RNA devices to program gene expression using energy-based optimization.

Small RNAs (sRNAs) can operate as regulatory agents to control protein expression by interaction with the 5' untranslated region of the mRNA. We have developed a physicochemical framework, relying on base pair interaction energies, to design multi-state sRNA devices by solving an optimization p...

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Autores principales: Guillermo Rodrigo, Thomas E Landrain, Eszter Majer, José-Antonio Daròs, Alfonso Jaramillo
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Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/36ff29ef71b04a09b075c750b2a94d3a
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spelling oai:doaj.org-article:36ff29ef71b04a09b075c750b2a94d3a2021-11-18T05:53:41ZFull design automation of multi-state RNA devices to program gene expression using energy-based optimization.1553-734X1553-735810.1371/journal.pcbi.1003172https://doaj.org/article/36ff29ef71b04a09b075c750b2a94d3a2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23935479/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Small RNAs (sRNAs) can operate as regulatory agents to control protein expression by interaction with the 5' untranslated region of the mRNA. We have developed a physicochemical framework, relying on base pair interaction energies, to design multi-state sRNA devices by solving an optimization problem with an objective function accounting for the stability of the transition and final intermolecular states. Contrary to the analysis of the reaction kinetics of an ensemble of sRNAs, we solve the inverse problem of finding sequences satisfying targeted reactions. We show here that our objective function correlates well with measured riboregulatory activity of a set of mutants. This has enabled the application of the methodology for an extended design of RNA devices with specified behavior, assuming different molecular interaction models based on Watson-Crick interaction. We designed several YES, NOT, AND, and OR logic gates, including the design of combinatorial riboregulators. In sum, our de novo approach provides a new paradigm in synthetic biology to design molecular interaction mechanisms facilitating future high-throughput functional sRNA design.Guillermo RodrigoThomas E LandrainEszter MajerJosé-Antonio DaròsAlfonso JaramilloPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 9, Iss 8, p e1003172 (2013)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Guillermo Rodrigo
Thomas E Landrain
Eszter Majer
José-Antonio Daròs
Alfonso Jaramillo
Full design automation of multi-state RNA devices to program gene expression using energy-based optimization.
description Small RNAs (sRNAs) can operate as regulatory agents to control protein expression by interaction with the 5' untranslated region of the mRNA. We have developed a physicochemical framework, relying on base pair interaction energies, to design multi-state sRNA devices by solving an optimization problem with an objective function accounting for the stability of the transition and final intermolecular states. Contrary to the analysis of the reaction kinetics of an ensemble of sRNAs, we solve the inverse problem of finding sequences satisfying targeted reactions. We show here that our objective function correlates well with measured riboregulatory activity of a set of mutants. This has enabled the application of the methodology for an extended design of RNA devices with specified behavior, assuming different molecular interaction models based on Watson-Crick interaction. We designed several YES, NOT, AND, and OR logic gates, including the design of combinatorial riboregulators. In sum, our de novo approach provides a new paradigm in synthetic biology to design molecular interaction mechanisms facilitating future high-throughput functional sRNA design.
format article
author Guillermo Rodrigo
Thomas E Landrain
Eszter Majer
José-Antonio Daròs
Alfonso Jaramillo
author_facet Guillermo Rodrigo
Thomas E Landrain
Eszter Majer
José-Antonio Daròs
Alfonso Jaramillo
author_sort Guillermo Rodrigo
title Full design automation of multi-state RNA devices to program gene expression using energy-based optimization.
title_short Full design automation of multi-state RNA devices to program gene expression using energy-based optimization.
title_full Full design automation of multi-state RNA devices to program gene expression using energy-based optimization.
title_fullStr Full design automation of multi-state RNA devices to program gene expression using energy-based optimization.
title_full_unstemmed Full design automation of multi-state RNA devices to program gene expression using energy-based optimization.
title_sort full design automation of multi-state rna devices to program gene expression using energy-based optimization.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/36ff29ef71b04a09b075c750b2a94d3a
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AT esztermajer fulldesignautomationofmultistaternadevicestoprogramgeneexpressionusingenergybasedoptimization
AT joseantoniodaros fulldesignautomationofmultistaternadevicestoprogramgeneexpressionusingenergybasedoptimization
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