Abstract
Biomolecular systems that can process information are sought for computational applications, because of their potential for parallelism and miniaturization and because their biocompatibility also makes them suitable for future biomedical applications. DNA has been used to design machines, motors, finite automata, logic gates, reaction networks and logic programs, amongst many other structures and dynamic behaviours. Here we design and program a synthetic DNA network to implement computational paradigms abstracted from cellular regulatory networks. These show information processing properties that are desirable in artificial, engineered molecular systems, including robustness of the output in relation to different sources of variation. We show the results of numerical simulations of the dynamic behaviour of the network and preliminary experimental analysis of its main components.
Highlights
Computing is the study of natural and artificial information processes [1]
Alon and colleagues investigated transcription networks in the bacterium E. coli and the yeast S. cerevisiae whose information processing role is to determine the rate of production of specific proteins as a function of the environment [25,26]
We have investigated the behaviour of the proposed DNA network through chemical kinetics simulations
Summary
Cristina Costa Santini 1,† , Jonathan Bath 2 , Andrew J. Current address: College of Computer and Information Sciences, King Saud University, P.O.Box. Received: 29 February 2012; in revised form: 31 March 2012 / Accepted: 17 April 2012 /
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