The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Molecular computation: RNA solutions to chess problems
Open accessAbstract
We have expanded the field of “DNA computers” to RNA and present a general approach for the solution of satisfiability problems. As an example, we consider a variant of the “Knight problem,” which asks generally what configurations of knights can one place on an n × n chess board such that no knight is attacking any other knight on the board. Using specific ribonuclease digestion to manipulate strands of a 10-bit binary RNA library, we developed a molecular algorithm and applied it to a 3 × 3 chessboard as a 9-bit instance of this problem. Here, the nine spaces on the board correspond to nine “bits” or placeholders in a combinatorial RNA library. We recovered a set of “winning” molecules that describe solutions to this problem.
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Digital Information Processing in Molecular Systems
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Logical computation using algorithmic self-assembly of DNA triple-crossover molecules
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Metadata
- Authors
- Faulhammer, D., Cukras, A. R., Lipton, R. J., & Landweber, L. F.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2000-02-15
- Volume
- 97
- Issue
- 4
- Pages
- 1385-1389
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1989767423
- Cited by
- 338
- References
- 10
- FWCI
- 6.76
- Type
- journal article
- Language
- en
- Open access
- green
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- Faulhammer, D., Cukras, A. R., Lipton, R. J., & Landweber, L. F. (2000). Molecular computation: RNA solutions to chess problems. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.97.4.1385
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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.