Jurado Quiroga, Z.
, Taghon, G.
and Schaffter, S.
(2026),
Towards interoperable modeling of toehold-mediated strand exchange circuits across DNA nanotechnology and engineering biology, ACS Synthetic Biology, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=962228 (Accessed September 10, 2026)
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Towards interoperable modeling of toehold-mediated strand exchange circuits across DNA nanotechnology and engineering biology
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Abstract
Originally developed for DNA nanotechnology, toehold-mediated strand exchange (TMSE) circuits are gaining traction in synthetic biology due to their high programmability, seamless integration with biological components, and robust operation across diverse environments and cell types. However, while forward-engineering in synthetic biology has benefited from automated genetic circuit modeling pipelines, there is currently a lack of accessible, automated tools for the mechanistic modeling of TMSE circuits integrated with these systems, hindering the development of new biotechnologies. The TMSE-BioCRNpyler Library allows TMSE molecules to be transcribed RNAs or fixed-concentration nucleic acids while leveraging existing BioCRNpyler features, such as upstream transcription regulation and downstream gene regulation. We demonstrate this library's applicability by modeling published applications of TMSE circuits spanning a wide range of applications, including simple in vitro reactions, cell-free biosensors, and in vivo microbial and mammalian systems. Additionally, we validated that models compiled using the TMSE-BioCRNpyler Library produced results with < 0.2 % relative error compared to multiple models of TMSE previously developed in the literature. Finally, to streamline interoperability with existing models, we developed txt2biocrnpyler. This accompanying tool converts chemical reaction networks from the literature into a BioCRNpyler-ready source script and a Systems Biology Markup Language XML file — a standard data format for sharing and simulating biological models. The TMSE-BioCRNpyler Library serves as a powerful new resource for the rational, automated design of molecular information processing systems.Citation
ACS Synthetic Biology
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Journals
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Keywords
Molecular programming, Strand displacement, Genetic circuits, Chemical reaction networks (CRNs), SBML
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Created August 31, 2026