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DNA-based programmable gate arrays for general-purpose DNA computing
Generic single-stranded oligonucleotides used as a uniform transmission signal can reliably integrate large-scale DNA integrated circuits with minimal leakage and high fidelity for general-purpose computing.
- Hui Lv
- , Nuli Xie
- & Chunhai Fan
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Article |
Nonlinear decision-making with enzymatic neural networks
Mimicking traditional digital neural networks with DNA-encoded ‘enzymatic’ neurons overcomes issues with other chemical approaches, and could allow notable increases in miniaturization and molecular implementation of these AI models, with potential applications including DNA data storage or cancer diagnosis.
- S. Okumura
- , G. Gines
- & A. J. Genot
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Letter |
Diverse and robust molecular algorithms using reprogrammable DNA self-assembly
A set of 355 self-assembling DNA ‘tiles’ can be reprogrammed to implement many different computer algorithms—including sorting, palindrome testing and divisibility by three—suggesting that molecular self-assembly could be a reliable algorithmic component in programmable chemical systems.
- Damien Woods
- , David Doty
- & Erik Winfree
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Letter |
Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks
DNA-strand-displacement reactions are used to implement a neural network that can distinguish complex and noisy molecular patterns from a set of nine possibilities—an improvement on previous demonstrations that distinguished only four simple patterns.
- Kevin M. Cherry
- & Lulu Qian
Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly