Abstract
The mathematical formalism of mass-action chemical reaction networks (CRNs) has been proposed as a mid-level programming language for dynamic molecular systems. Several systematic methods for translating CRNs into domain-level strand displacement (DSD) systems have been developed theoretically, and in some cases demonstrated experimentally. Software that facilitates the simulation of CRNs and DSDs, and that helps automate the construction of DSDs from CRNs, has been instrumental in advancing the field, but as yet has not incorporated the fundamental enabling concept for programming languages and compilers: a rigorous abstraction hierarchy with well-defined semantics at each level, and rigorous correctness proofs establishing the correctness of compilation from a higher level to a lower level. Here, we present a CRN-to-DSD compiler, Nuskell, that makes a first step in this direction. To support the wide range of translation schemes that have already been proposed in the literature, as well as potential new ones that are yet to be proposed, Nuskell provides a domain-specific programming language for translation schemes. A notion of correctness is established on a case-by-case basis using the rate-independent stochastic-level theories of pathway decomposition equivalence and/or CRN bisimulation. The “best” DSD implementation for a given CRN can be found by comparing the molecule size, network size, or simulation behavior for a variety of translation schemes. These features are illustrated with a 3-reaction oscillator CRN and a 32-reaction feedforward boolean circuit CRN.
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Acknowledgements
We thank the U.S. National Science Foundation for support: NSF Grant CCF-1213127 and NSF Grant CCF-1317694 (“The Molecular Programming Project”). The Gordon and Betty Moore Foundation’s Programmable Molecular Technology Initiative (PMTI). SB is funded by the Caltech Biology and Biological Engineering Division Fellowship. SWS’s current address is Google, Mountain View, California. QD’s current address is Epic Systems, Madison, Wisconsin.
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Badelt, S., Shin, S.W., Johnson, R.F., Dong, Q., Thachuk, C., Winfree, E. (2017). A General-Purpose CRN-to-DSD Compiler with Formal Verification, Optimization, and Simulation Capabilities. In: Brijder, R., Qian, L. (eds) DNA Computing and Molecular Programming. DNA 2017. Lecture Notes in Computer Science(), vol 10467. Springer, Cham. https://doi.org/10.1007/978-3-319-66799-7_15
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