Guillermo Rodrigo1, Alfonso Jaramillo2. 1. Institute of Systems and Synthetic Biology, CNRS - Université d'Évry Val d'Essonne, F-91000 Évry, France and School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom. 2. Institute of Systems and Synthetic Biology, CNRS - Université d'Évry Val d'Essonne, F-91000 Évry, France and School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom Institute of Systems and Synthetic Biology, CNRS - Université d'Évry Val d'Essonne, F-91000 Évry, France and School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom.
Abstract
MOTIVATION: The ability to engineer control systems of gene expression is instrumental for synthetic biology. Thus, bioinformatic methods that assist such engineering are appealing because they can guide the sequence design and prevent costly experimental screening. In particular, RNA is an ideal substrate to de novo design regulators of protein expression by following sequence-to-function models. RESULTS: We have implemented a novel algorithm, RiboMaker, aimed at the computational, automated design of bacterial riboregulation. RiboMaker reads the sequence and structure specifications, which codify for a gene regulatory behaviour, and optimizes the sequences of a small regulatory RNA and a 5'-untranslated region for an efficient intermolecular interaction. To this end, it implements an evolutionary design strategy, where random mutations are selected according to a physicochemical model based on free energies. The resulting sequences can then be tested experimentally, providing a new tool for synthetic biology, and also for investigating the riboregulation principles in natural systems. AVAILABILITY AND IMPLEMENTATION: Web server is available at http://ribomaker.jaramillolab.org/. Source code, instructions and examples are freely available for download at http://sourceforge.net/projects/ribomaker/.
MOTIVATION: The ability to engineer control systems of gene expression is instrumental for synthetic biology. Thus, bioinformatic methods that assist such engineering are appealing because they can guide the sequence design and prevent costly experimental screening. In particular, RNA is an ideal substrate to de novo design regulators of protein expression by following sequence-to-function models. RESULTS: We have implemented a novel algorithm, RiboMaker, aimed at the computational, automated design of bacterial riboregulation. RiboMaker reads the sequence and structure specifications, which codify for a gene regulatory behaviour, and optimizes the sequences of a small regulatory RNA and a 5'-untranslated region for an efficient intermolecular interaction. To this end, it implements an evolutionary design strategy, where random mutations are selected according to a physicochemical model based on free energies. The resulting sequences can then be tested experimentally, providing a new tool for synthetic biology, and also for investigating the riboregulation principles in natural systems. AVAILABILITY AND IMPLEMENTATION: Web server is available at http://ribomaker.jaramillolab.org/. Source code, instructions and examples are freely available for download at http://sourceforge.net/projects/ribomaker/.
Authors: Stefan Hammer; Birgit Tschiatschek; Christoph Flamm; Ivo L Hofacker; Sven Findeiß Journal: Bioinformatics Date: 2017-09-15 Impact factor: 6.937
Authors: Michelle J Wu; Johan O L Andreasson; Wipapat Kladwang; William Greenleaf; Rhiju Das Journal: ACS Synth Biol Date: 2019-07-29 Impact factor: 5.110