Dr Jon Bath

Abstract:

We implement a finite state machine by representing state, transition rules and input symbols with DNA components. Transitions between states are triggered by a clock signal which allows synchronized, parallel operation of two (or more) state machines. The state machine can be re-programmed by changing the input symbols.

Abstract:

The route taken by a DNA cargo on a branched track can be controlled by the small molecule adenosine using a pair of aptamers that reciprocally block and unblock branches of the track in response to adenosine binding.

Abstract:

Using a strand exchange mechanism we have prepared, by DNA templated chemistry, two 10-mers with defined and tunable monomer sequences. An optimized reaction protocol achieves 85% coupling yield per step, demonstrating that DNA-templated chemistry is a powerful tool for the synthesis of macromolecules with full sequence control.

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. © 2012 by the authors.