The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure
Open accessAbstract
A dynamic programming algorithm for prediction of RNA secondary structure has been revised to accommodate folding constraints determined by chemical modification and to include free energy increments for coaxial stacking of helices when they are either adjacent or separated by a single mismatch. Furthermore, free energy parameters are revised to account for recent experimental results for terminal mismatches and hairpin, bulge, internal, and multibranch loops. To demonstrate the applicability of this method, in vivo modification was performed on 5S rRNA in both Escherichia coli and Candida albicans with 1-cyclohexyl-3-(2-morpholinoethyl) carbodiimide metho- p -toluene sulfonate, dimethyl sulfate, and kethoxal. The percentage of known base pairs in the predicted structure increased from 26.3% to 86.8% for the E. coli sequence by using modification constraints. For C. albicans , the accuracy remained 87.5% both with and without modification data. On average, for these sequences and a set of 14 sequences with known secondary structure and chemical modification data taken from the literature, accuracy improves from 67% to 76%. This enhancement primarily reflects improvement for three sequences that are predicted with <40% accuracy on the basis of energetics alone. For these sequences, inclusion of chemical modification constraints improves the average accuracy from 28% to 78%. For the 11 sequences with <6% pseudoknotted base pairs, structures predicted with constraints from chemical modification contain on average 84% of known canonical base pairs.
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
Identification of Novel Genes Coding for Small Expressed RNAs
Lagos-Quintana, M., Rauhut, R., Lendeckel, W., & Tuschl, T. (2001) · Science · doi:10.1126/science.1064921 · Cited by 4,956
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
Self-citationOptimal computer folding of large RNA sequences using thermodynamics and auxiliary information
Zuker, M., & Stiegler, P. (1981) · Nucleic Acids Research · doi:10.1093/nar/9.1.133 · Cited by 3,562
Self-citationAn Abundant Class of Tiny RNAs with Probable Regulatory Roles in Caenorhabditis elegans
Lau, N. C., Lim, L. P., Weinstein, E. G., & Bartel, D. P. (2001) · Science · doi:10.1126/science.1065062 · Cited by 3,345
The Structural Basis of Ribosome Activity in Peptide Bond Synthesis
Nissen, P., Hansen, J., Ban, N., Moore, P. B., & Steitz, T. A. (2000) · Science · doi:10.1126/science.289.5481.920 · Cited by 2,269
Improved Estimation of Secondary Structure in Ribonucleic Acids
TINOCO, I., BORER, P. N., DENGLER, B., LEVINE, M. D., UHLENBECK, O. C., CROTHERS, D. M., & GRALLA, J. (1973) · Nature New Biology · doi:10.1038/newbio246040a0 · Cited by 2,268
On Finding All Suboptimal Foldings of an RNA Molecule
Zuker, M. (1989) · Science · doi:10.1126/science.2468181 · Cited by 2,005
Self-citationCannone, J. J., Subramanian, S., Schnare, M. N., Collett, J. R., D'Souza, L. M., Du, Y., Feng, B., Lin, N., Madabusi, L. V., Müller, K. M., et al. (2002) · BMC Bioinformatics · doi:10.1186/1471-2105-3-2 · Cited by 1,612
Gene silencing in mammals by small interfering RNAs
McManus, M. T., & Sharp, P. A. (2002) · Nature Reviews Genetics · doi:10.1038/nrg908 · Cited by 1,399
Intramolecular Reaction in Polycondensations. I. The Theory of Linear Systems
Jacobson, H., & Stockmayer, W. H. (1950) · The Journal of Chemical Physics · doi:10.1063/1.1747547 · Cited by 1,398
Cited by
Lorenz, R., Bernhart, S. H., Höner zu Siederdissen, C., Tafer, H., Flamm, C., Stadler, P. F., & Hofacker, I. L. (2011) · Algorithms for Molecular Biology · doi:10.1186/1748-7188-6-26 · Cited by 5,098
Ashkenazy, H., Abadi, S., Martz, E., Chay, O., Mayrose, I., Pupko, T., & Ben-Tal, N. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw408 · Cited by 3,163
In vivo genome-wide profiling of RNA secondary structure reveals novel regulatory features
Ding, Y., Tang, Y., Kwok, C. K., Zhang, Y., Bevilacqua, P. C., & Assmann, S. M. (2014) · Nature · doi:10.1038/nature12756 · Cited by 775
Accurate SHAPE-directed RNA structure determination
Deigan, K. E., Li, T. W., Mathews, D. H., & Weeks, K. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806929106 · Cited by 696
Self-citationTurner, D. H., & Mathews, D. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp892 · Cited by 575
Self-citation
Metadata
- Authors
- Mathews, D. H., Disney, M. D., Childs, J. L., Schroeder, S. J., Zuker, M., & Turner, D. H.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2004-05-03
- Volume
- 101
- Issue
- 19
- Pages
- 7287-7292
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2004945910
- Cited by
- 1,622
- References
- 81
- FWCI
- 18.59
- Type
- journal article
- Language
- en
- Open access
- green
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: Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure. https://app.cochat.ai/papers/10.1073/pnas.0401799101
- The paper
- Mathews, D. H., Disney, M. D., Childs, J. L., Schroeder, S. J., Zuker, M., & Turner, D. H. (2004). Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0401799101
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.