DNA sequence design using templates
New Generation Computing
In Vitro Implementation of Finite-State Machines
WIA '97 Revised Papers from the Second International Workshop on Implementing Automata
On Template Method for DNA Sequence Design
DNA8 Revised Papers from the 8th International Workshop on DNA Based Computers: DNA Computing
DNA hybridization catalysts and catalyst circuits
DNA'04 Proceedings of the 10th international conference on DNA computing
Natural Computing: an international journal
An autonomous DNA model for finite state automata
International Journal of Bioinformatics Research and Applications
UC'10 Proceedings of the 9th international conference on Unconventional computation
Autonomous resolution based on DNA strand displacement
DNA'11 Proceedings of the 17th international conference on DNA computing and molecular programming
DNA'06 Proceedings of the 12th international conference on DNA Computing
DNA-based molecular architecture with spatially localized components
Proceedings of the 40th Annual International Symposium on Computer Architecture
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In the field of DNA computing, more and more efforts are made for constructing molecular machines made of DNA that work in vitro or in vivo. States of some of those machines are represented by their conformations, such as hairpin and bulge loops, and state transitions are realized by conformational changes, in which such loops are opened. The ultimate goal of this study is to implement not only independent molecular machines, but also networks of interacting machines, called chain reaction systems, where a conformational change of one machine triggers a conformational change of another machine in a cascaded manner. A chain reaction system would result in a much larger computational power than a single machine in the number of states and in the complexity of computation. As a simple example, we propose a general-purpose molecular system consisting of logical gates and sensors. As a more complex example, we present a new idea of constructing a DNA automaton by a chain reaction system, which can have an arbitrary number of states.