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Cited by 522

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Architecture of ribosomal RNA: constraints on the sequence of "tetra-loops".

Open access
Woese, C R, Winker, S, Gutell, R R·1990·Proceedings of the National Academy of Sciences

Abstract

The four-base loops that cap many double-helical structures in rRNA (the so-called "tetra-loops") exhibit highly invariant to highly variable sequences depending upon their location in the molecule. However, in the vast majority of these cases the sequence of a tetra-loop is independent of its location and conforms to one of three general motifs, GNRA, UNCG, and (more rarely) CUUG. For the most frequently varying of the 16S rRNA tetra-loops, that at position 83 (Escherichia coli numbering), the three sequences CUUG, UUCG, and GCAA account for almost all examples encountered, and each of them has independently arisen at least a dozen times. The closing base pair of tetra-loop hairpins reflects the loop sequence, tending to be C.G for UUCG loops and G.C for CUUG loops.

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Crossref · 10.1073/pnas.87.21.8467

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Metadata

Authors
Woese, C. R., Winker, S., & Gutell, R. R.
Venue
Proceedings of the National Academy of Sciences
Published
1990-11
Volume
87
Issue
21
Pages
8467-8471
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1985124981
Cited by
522
References
16
FWCI
6.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Architecture of ribosomal RNA: constraints on the sequence of "tetra-loops". https://app.cochat.ai/papers/10.1073/pnas.87.21.8467
The paper
Woese, C. R., Winker, S., & Gutell, R. R. (1990). Architecture of ribosomal RNA: constraints on the sequence of "tetra-loops". Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.87.21.8467

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.