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Toeholder: a Software for Automated Design and In Silico Validation of Toehold Riboswitches

View ORCID ProfileAngel F. Cisneros, View ORCID ProfileFrançois D. Rouleau, View ORCID ProfileCarla Bautista, View ORCID ProfilePascale Lemieux, View ORCID ProfileNathan Dumont-Leblond Team iGEM ULaval 2019
doi: https://doi.org/10.1101/2021.11.09.467922
Angel F. Cisneros
1Département de biochimie, microbiologie et bio-informatique, Université Laval, Quebec City, QC, Canada
3Institut de biologie intégrative et des systèmes, Université Laval, Quebec City, QC, Canada
5Centre de recherche en données massives de l’Université Laval, Université Laval, Quebec City, QC, Canada
6Regroupement québécois de recherche sur la fonction, l’ingénierie et la structure des protéines (PROTEO), Université Laval, Quebec City, QC, Canada
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  • For correspondence: angel-fernando.cisneros-caballero.1@ulaval.ca
François D. Rouleau
1Département de biochimie, microbiologie et bio-informatique, Université Laval, Quebec City, QC, Canada
3Institut de biologie intégrative et des systèmes, Université Laval, Quebec City, QC, Canada
5Centre de recherche en données massives de l’Université Laval, Université Laval, Quebec City, QC, Canada
6Regroupement québécois de recherche sur la fonction, l’ingénierie et la structure des protéines (PROTEO), Université Laval, Quebec City, QC, Canada
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Carla Bautista
2Département de biologie, Université Laval, Quebec City, QC, Canada
3Institut de biologie intégrative et des systèmes, Université Laval, Quebec City, QC, Canada
5Centre de recherche en données massives de l’Université Laval, Université Laval, Quebec City, QC, Canada
6Regroupement québécois de recherche sur la fonction, l’ingénierie et la structure des protéines (PROTEO), Université Laval, Quebec City, QC, Canada
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Pascale Lemieux
1Département de biochimie, microbiologie et bio-informatique, Université Laval, Quebec City, QC, Canada
3Institut de biologie intégrative et des systèmes, Université Laval, Quebec City, QC, Canada
5Centre de recherche en données massives de l’Université Laval, Université Laval, Quebec City, QC, Canada
6Regroupement québécois de recherche sur la fonction, l’ingénierie et la structure des protéines (PROTEO), Université Laval, Quebec City, QC, Canada
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Nathan Dumont-Leblond
4Centre de recherche de l’Institut universitaire de cardiologie et de pneumologie de Québec, Quebec City, QC, Canada
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Abstract

Synthetic biology aims to engineer biological circuits, which often involve gene expression. A particularly promising group of regulatory elements are riboswitches because of their versatility with respect to their targets, but early synthetic designs were not as attractive because of a reduced dynamic range with respect to protein regulators. Only recently, the creation of toehold switches helped overcome this obstacle by also providing an unprecedented degree of orthogonality. However, a lack of automated design and optimization tools prevents the widespread and effective use of toehold switches in high throughput experiments. To address this, we developed Toeholder, a comprehensive open-source software for toehold design and in silico comparison. Toeholder takes into consideration sequence constraints from experimentally tested switches, as well as data derived from molecular dynamics simulations of a toehold switch. We describe the software and its in silico validation results, as well as its potential applications and impacts on the management and design of toehold switches.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Adjusted text, added new figures

  • https://github.com/igem-ulaval/toeholder

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 10, 2022.
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Toeholder: a Software for Automated Design and In Silico Validation of Toehold Riboswitches
Angel F. Cisneros, François D. Rouleau, Carla Bautista, Pascale Lemieux, Nathan Dumont-Leblond
bioRxiv 2021.11.09.467922; doi: https://doi.org/10.1101/2021.11.09.467922
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Toeholder: a Software for Automated Design and In Silico Validation of Toehold Riboswitches
Angel F. Cisneros, François D. Rouleau, Carla Bautista, Pascale Lemieux, Nathan Dumont-Leblond
bioRxiv 2021.11.09.467922; doi: https://doi.org/10.1101/2021.11.09.467922

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