ArticleJournal of the Royal Society, Interface2013
Scaling down DNA circuits with competitive neural networks.
Article in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- A synthetic ERFVII-dependent circuit in yeast sheds light on the regulation of early hypoxic responses of plants.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Proteomic Characterization of theInternational journal of molecular sciences · 2025Article
- Article
- Supervised learning in DNA neural networks.Nature · 2025Article
- A synthetic protein-level neural network in mammalian cells.Science (New York, N.Y.) · 2024Article
- A molecular assessment of the practical potential of DNA-based computation.Current opinion in biotechnology · 2023Review
- A deep artificial neural network powered by enzymes.Nature · 2022Article
- Positive feedback drives a secondary nonlinear product burst during a biphasic DNA amplification reaction.The Analyst · 2022Article
- Massively Parallel DNA Computing Based on Domino DNA Strand Displacement Logic Gates.ACS synthetic biology · 2022Article
- Programming Molecular Systems To Emulate a Learning Spiking Neuron.ACS synthetic biology · 2022Article
- DNA Input Classification by a Riboregulator-Based Cell-Free Perceptron.ACS synthetic biology · 2022Article
- A Loser-Take-All DNA Circuit.ACS synthetic biology · 2021Article
- Article
- Automated sequence-level analysis of kinetics and thermodynamics for domain-level DNA strand-displacement systems.Journal of the Royal Society, Interface · 2018Article
- A molecular multi-gene classifier for disease diagnostics.Nature chemistry · 2018Article
- Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks.Nature · 2018Article
- Microscopic agents programmed by DNA circuits.Nature nanotechnology · 2017Article
- Boosting functionality of synthetic DNA circuits with tailored deactivation.Nature communications · 2016Article
- Bridging the Two Worlds: A Universal Interface between Enzymatic and DNA Computing Systems.Angewandte Chemie (International ed. in English) · 2015Article
- Design of a biochemical circuit motif for learning linear functions.Journal of the Royal Society, Interface · 2014Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA has proved to be an exquisite substrate to compute at the molecular scale. However, nonlinear computations (such as amplification, comparison or restoration of signals) remain costly in term of strands and are prone to leak. Kim et al. showed how competition for an enzymatic resource could be exploited in hybrid DNA/enzyme circuits to compute a powerful nonlinear primitive: the winner-take-all (WTA) effect. Here, we first show theoretically how the nonlinearity of the WTA effect allows the robust and compact classification of four patterns with only 16 strands and three enzymes. We then generalize this WTA effect to DNA-only circuits and demonstrate similar classification capabilities with only 23 strands.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.