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Cited by 338

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 access
Faulhammer, Dirk, Cukras, Anthony R., Lipton, Richard J., Landweber, Laura F.·2000·Proceedings of the National Academy of Sciences

Abstract

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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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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CoChat. (2026). Citation check: Molecular computation: RNA solutions to chess problems. https://app.cochat.ai/papers/10.1073/pnas.97.4.1385
The paper
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.