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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

DNA as a universal substrate for chemical kinetics

Open access
Soloveichik, David, Seelig, Georg, Winfree, Erik·2010·Proceedings of the National Academy of Sciences

Abstract

Molecular programming aims to systematically engineer molecular and chemical systems of autonomous function and ever-increasing complexity. A key goal is to develop embedded control circuitry within a chemical system to direct molecular events. Here we show that systems of DNA molecules can be constructed that closely approximate the dynamic behavior of arbitrary systems of coupled chemical reactions. By using strand displacement reactions as a primitive, we construct reaction cascades with effectively unimolecular and bimolecular kinetics. Our construction allows individual reactions to be coupled in arbitrary ways such that reactants can participate in multiple reactions simultaneously, reproducing the desired dynamical properties. Thus arbitrary systems of chemical equations can be compiled into real chemical systems. We illustrate our method on the Lotka–Volterra oscillator, a limit-cycle oscillator, a chaotic system, and systems implementing feedback digital logic and algorithmic behavior.

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Crossref · 10.1073/pnas.0909380107

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Metadata

Authors
Soloveichik, D., Seelig, G., & Winfree, E.
Venue
Proceedings of the National Academy of Sciences
Published
2010-03-04
Volume
107
Issue
12
Pages
5393-5398
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2000804241
Cited by
693
References
4
FWCI
14.41
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: DNA as a universal substrate for chemical kinetics. https://app.cochat.ai/papers/10.1073/pnas.0909380107
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Soloveichik, D., Seelig, G., & Winfree, E. (2010). DNA as a universal substrate for chemical kinetics. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0909380107

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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.