The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Major Groove Accessibility of RNA
Abstract
Chemical acylation experiments showed that the RNA major groove, often assumed to be too deep and narrow to permit recognition interactions, is accessible at duplex termini. Reactivity extended further into the helix in the 5′ than in the 3′ direction. Asymmetric and large loops between helices uncoupled them, which yielded both enhanced reactivity at terminal base pairs and weaker stabilization enthalpy compared to that in small loops or symmetric loops of the same size. Uncoupled helices have effective helix ends with accessible major grooves; such motifs are attractive contributors to protein recognition, tertiary folding, and catalysis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Improved free-energy parameters for predictions of RNA duplex stability.
Freier, S. M., Kierzek, R., Jaeger, J. A., Sugimoto, N., Caruthers, M. H., Neilson, T., & Turner, D. H. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.24.9373 · Cited by 1,470
Cited by
Mathews, D. H., Sabina, J., Zuker, M., & Turner, D. H. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.2700 · Cited by 3,795
Illuminating the silence: understanding the structure and function of small RNAs
Rana, T. M. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2085 · Cited by 1,083
Klein, D. J., Moore, P. B., & Steitz, T. A. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.03.076 · Cited by 422
Chiu, Y.-L., & Rana, T. M. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00652-4 · Cited by 395
[11] Predicting thermodynamic properties of RNA
(1995) · Methods in Enzymology · doi:10.1016/0076-6879(95)59047-1 · Cited by 358
Metadata
- Authors
- Weeks, K. M., & Crothers, D. M.
- Venue
- Science
- Published
- 1993-09-17
- Volume
- 261
- Issue
- 5128
- Pages
- 1574-1577
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2094757867
- Cited by
- 203
- References
- 1
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Major Groove Accessibility of RNA. https://app.cochat.ai/papers/10.1126/science.7690496
- The paper
- Weeks, K. M., & Crothers, D. M. (1993). Major Groove Accessibility of RNA. Science. https://doi.org/10.1126/science.7690496
Data sources
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.
