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Programmability of Chemical Reaction Networks

Cook, Matthew and Soloveichik, David and Winfree, Erik and Bruck, Jehoshua (2008) Programmability of Chemical Reaction Networks. California Institute of Technology , Pasadena, CA. (Unpublished)

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Motivated by the intriguing complexity of biochemical circuitry within individual cells we study Stochastic Chemical Reaction Networks (SCRNs), a formal model that considers a set of chemical reactions acting on a finite number of molecules in a well-stirred solution according to standard chemical kinetics equations. SCRNs have been widely used for describing naturally occurring (bio)chemical systems, and with the advent of synthetic biology they become a promising language for the design of artificial biochemical circuits. Our interest here is the computational power of SCRNs and how they relate to more conventional models of computation. We survey known connections and give new connections between SCRNs and Boolean Logic Circuits, Vector Addition Systems, Petri Nets, Gate Implementability, Primitive Recursive Functions, Register Machines, Fractran, and Turing Machines. A theme to these investigations is the thin line between decidable and undecidable questions about SCRN behavior.

Item Type:Report or Paper (Technical Report)
Winfree, Erik0000-0002-5899-7523
Additional Information:The research was supported in part by the "Alpha Project" at the Center for Genomic Experimentation and Computation, an NIH Center of Excellence (grant number P50 HG02370), as well as NSF Grants No. 0523761 and 0728703 to EW and NIMH Training Grant MH19138-15. Also available
Group:Parallel and Distributed Systems Group
Record Number:CaltechPARADISE:2008.ETR090
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Official Citation:Matthew Cook, David Soloveichik, Erik Winfree, and Jehoshua Bruck (2008) Programmability of Chemical Reaction Networks. Technical Report. California Institute of Technology, Pasadena, CA. [CaltechPARADISE:2008.ETR090]
Usage Policy:You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format.
ID Code:26121
Deposited By: Imported from CaltechPARADISE
Deposited On:23 Sep 2008
Last Modified:07 Mar 2015 00:35

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