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 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.

DOI: 10.1371/journal.pcbi.1003172

Extracted Key Phrases

7 Figures and Tables

Citations per Year

64 Citations

Semantic Scholar estimates that this publication has 64 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Rodrigo2013FullDA, title={Full Design Automation of Multi-State RNA Devices to Program Gene Expression Using Energy-Based Optimization}, author={Guillermo Rodrigo and Thomas E. Landrain and Eszter Majer and Jos{\'e}-Antonio Dar{\`o}s and Alfonso Jaramillo}, booktitle={PLoS Computational Biology}, year={2013} }