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Cited by 817

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Improved predictions of secondary structures for RNA.

Open access
Jaeger, J A, Turner, D H, Zuker, M·1989·Proceedings of the National Academy of Sciences

Abstract

The accuracy of computer predictions of RNA secondary structure from sequence data and free energy parameters has been increased to roughly 70%. Performance is judged by comparison with structures known from phylogenetic analysis. The algorithm also generates suboptimal structures. On average, the best structure within 10% of the lowest free energy contains roughly 90% of phylogenetically known helixes. The algorithm does not include tertiary interactions or pseudoknots and employs a crude model for single-stranded regions. The only favorable interactions are base pairing and stacking of terminal unpaired nucleotides at the ends of helixes. The excellent performance is consistent with these interactions being the primary interactions determining RNA secondary structure.

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Metadata

Authors
Jaeger, J. A., Turner, D. H., & Zuker, M.
Venue
Proceedings of the National Academy of Sciences
Published
1989-10
Volume
86
Issue
20
Pages
7706-7710
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1995403172
Cited by
817
References
2
FWCI
8.93
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Improved predictions of secondary structures for RNA. https://app.cochat.ai/papers/10.1073/pnas.86.20.7706
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Jaeger, J. A., Turner, D. H., & Zuker, M. (1989). Improved predictions of secondary structures for RNA. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.86.20.7706

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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.