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MoiRNAiFold: a novel tool for complex in silico RNA design
Novel tools for in silico design of RNA constructs such as riboregulators are required in order to reduce time and cost to production for the development of diagnostic and therapeutic advances. Here, we present MoiRNAiFold, a versatile and user-friendly tool for de novo synthetic RNA design. MoiRNAi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136780/ https://www.ncbi.nlm.nih.gov/pubmed/33956139 http://dx.doi.org/10.1093/nar/gkab331 |
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author | Minuesa, Gerard Alsina, Cristina Garcia-Martin, Juan Antonio Oliveros, Juan Carlos Dotu, Ivan |
author_facet | Minuesa, Gerard Alsina, Cristina Garcia-Martin, Juan Antonio Oliveros, Juan Carlos Dotu, Ivan |
author_sort | Minuesa, Gerard |
collection | PubMed |
description | Novel tools for in silico design of RNA constructs such as riboregulators are required in order to reduce time and cost to production for the development of diagnostic and therapeutic advances. Here, we present MoiRNAiFold, a versatile and user-friendly tool for de novo synthetic RNA design. MoiRNAiFold is based on Constraint Programming and it includes novel variable types, heuristics and restart strategies for Large Neighborhood Search. Moreover, this software can handle dozens of design constraints and quality measures and improves features for RNA regulation control of gene expression, such as Translation Efficiency calculation. We demonstrate that MoiRNAiFold outperforms any previous software in benchmarking structural RNA puzzles from EteRNA. Importantly, with regard to biologically relevant RNA designs, we focus on RNA riboregulators, demonstrating that the designed RNA sequences are functional both in vitro and in vivo. Overall, we have generated a powerful tool for de novo complex RNA design that we make freely available as a web server (https://moiraibiodesign.com/design/). |
format | Online Article Text |
id | pubmed-8136780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81367802021-05-25 MoiRNAiFold: a novel tool for complex in silico RNA design Minuesa, Gerard Alsina, Cristina Garcia-Martin, Juan Antonio Oliveros, Juan Carlos Dotu, Ivan Nucleic Acids Res Computational Biology Novel tools for in silico design of RNA constructs such as riboregulators are required in order to reduce time and cost to production for the development of diagnostic and therapeutic advances. Here, we present MoiRNAiFold, a versatile and user-friendly tool for de novo synthetic RNA design. MoiRNAiFold is based on Constraint Programming and it includes novel variable types, heuristics and restart strategies for Large Neighborhood Search. Moreover, this software can handle dozens of design constraints and quality measures and improves features for RNA regulation control of gene expression, such as Translation Efficiency calculation. We demonstrate that MoiRNAiFold outperforms any previous software in benchmarking structural RNA puzzles from EteRNA. Importantly, with regard to biologically relevant RNA designs, we focus on RNA riboregulators, demonstrating that the designed RNA sequences are functional both in vitro and in vivo. Overall, we have generated a powerful tool for de novo complex RNA design that we make freely available as a web server (https://moiraibiodesign.com/design/). Oxford University Press 2021-05-06 /pmc/articles/PMC8136780/ /pubmed/33956139 http://dx.doi.org/10.1093/nar/gkab331 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Computational Biology Minuesa, Gerard Alsina, Cristina Garcia-Martin, Juan Antonio Oliveros, Juan Carlos Dotu, Ivan MoiRNAiFold: a novel tool for complex in silico RNA design |
title | MoiRNAiFold: a novel tool for complex in silico RNA design |
title_full | MoiRNAiFold: a novel tool for complex in silico RNA design |
title_fullStr | MoiRNAiFold: a novel tool for complex in silico RNA design |
title_full_unstemmed | MoiRNAiFold: a novel tool for complex in silico RNA design |
title_short | MoiRNAiFold: a novel tool for complex in silico RNA design |
title_sort | moirnaifold: a novel tool for complex in silico rna design |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136780/ https://www.ncbi.nlm.nih.gov/pubmed/33956139 http://dx.doi.org/10.1093/nar/gkab331 |
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