Abstract
The concentration of molecules can be changed by chemical reactions and thereby offer a continuous readout. Yet computer architecture is cast in textbooks in terms of binary valued, Boolean variables. To enable reactive chemical systems to compute we show how, using the Cox interpretation of probability theory, one can transcribe the equations of chemical kinetics as a sequence of coupled logic gates operating on continuous variables. It is discussed how the distinct chemical identity of a molecule allows us to create a common language for chemical kinetics and Boolean logic. Specifically, the logic AND operation is shown to be equivalent to a bimolecular process. The logic XOR operation represents chemical processes that take place concurrently. The values of the rate constants enter the logic scheme as inputs. By designing a reaction scheme with a feedback we endow the logic gates with a built in memory because their output then depends on the input and also on the present state of the system. Technically such a logic machine is an automaton. We report an experimental realization of three such coupled automata using a DNAzyme multilayer signaling cascade. A simple model verifies analytically that our experimental scheme provides an integrator generating a power series that is third order in time. The model identifies two parameters that govern the kinetics and shows how the initial concentrations of the substrates are the coefficients in the power series.
Original language | English |
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Pages (from-to) | 2161-2168 |
Number of pages | 8 |
Journal | Chemical Science |
Volume | 8 |
Issue number | 3 |
DOIs | |
State | Published - 1 Mar 2017 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Royal Society of Chemistry.
Funding
This work was supported by the EC FP7-funded BAMBI Project 618024 and by the EC FP7-funded MULTI Project 317707. FR is a director of research with FNRS (Fonds National de la Recherche Scientifique), Belgium.
Funders | Funder number |
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EC FP7-funded | |
Seventh Framework Programme | 317707, 618024 |
Institut national de la recherche scientifique |