Toeholder: a software for automated design and in silico validation of toehold riboswitches

Author:

Cisneros Angel F.1234,Rouleau Francois D.1234,Bautista Carla2345,Lemieux Pascale1234,Dumont-Leblond Nathan6

Affiliation:

1. Département de Biochimie, Microbiologie et Bio-informatique, Université Laval, Québec, Québec, Canada

2. Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada

3. Centre de Recherche en Données Massives de l’Université Laval, Université Laval, Québec, Québec, Canada

4. Regroupement Québécois de Recherche sur la Fonction, l’Ingénierie et la Structure des Protéines (PROTEO), Université Laval, Québec, Québec, Canada

5. Département de Biologie, Université Laval, Québec, Québec, Canada

6. Centre de Recherche de l’Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Québec, Québec, Canada

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.

Publisher

PeerJ

Subject

General Medicine

Reference33 articles.

1. Toehold gene switches make big footprints;Ausländer;Nature,2014

2. Energy minimization methods applied to riboswitches: a perspective and challenges;Barash;RNA Biology,2010

3. Predicting riboswitch regulation on a genomic scale;Barrick;Methods in Molecular Biology,2009

4. Riboswitches as antibacterial drug targets;Blount;Nature Biotechnology,2006

5. BLAST+: architecture and applications;Camacho;BMC Bioinformatics,2009

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