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Cited by 353

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

A spatially localized architecture for fast and modular DNA computing

Open access
Chatterjee, Gourab, Dalchau, Neil, Muscat, Richard A., Phillips, Andrew, Seelig, Georg·2017·Nature Nanotechnology

Abstract

Cells use spatial constraints to control and accelerate the flow of information in enzyme cascades and signalling networks. Synthetic silicon-based circuitry similarly relies on spatial constraints to process information. Here, we show that spatial organization can be a similarly powerful design principle for overcoming limitations of speed and modularity in engineered molecular circuits. We create logic gates and signal transmission lines by spatially arranging reactive DNA hairpins on a DNA origami. Signal propagation is demonstrated across transmission lines of different lengths and orientations and logic gates are modularly combined into circuits that establish the universality of our approach. Because reactions preferentially occur between neighbours, identical DNA hairpins can be reused across circuits. Co-localization of circuit elements decreases computation time from hours to minutes compared to circuits with diffusible components. Detailed computational models enable predictive circuit design. We anticipate our approach will motivate using spatial constraints for future molecular control circuit designs.

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Crossref · 10.1038/nnano.2017.127

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Metadata

Authors
Chatterjee, G., Dalchau, N., Muscat, R. A., Phillips, A., & Seelig, G.
Venue
Nature Nanotechnology
Published
2017-07-24
Volume
12
Issue
9
Pages
920-927
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2738534387
Cited by
353
References
46
FWCI
11.65
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A spatially localized architecture for fast and modular DNA computing. https://app.cochat.ai/papers/10.1038/nnano.2017.127
The paper
Chatterjee, G., Dalchau, N., Muscat, R. A., Phillips, A., & Seelig, G. (2017). A spatially localized architecture for fast and modular DNA computing. Nature Nanotechnology. https://doi.org/10.1038/nnano.2017.127

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.