NNDB: the nearest neighbor parameter database for predicting stability of nucleic acid secondary structure
Open accessAbstract
The Nearest Neighbor Database (NNDB, http://rna.urmc.rochester.edu/NNDB) is a web-based resource for disseminating parameter sets for predicting nucleic acid secondary structure stabilities. For each set of parameters, the database includes the set of rules with descriptive text, sequence-dependent parameters in plain text and html, literature references to experiments and usage tutorials. The initial release covers parameters for predicting RNA folding free energy and enthalpy changes.
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The QUBO formulation includes free energy e_qi derived from empirical thermodynamic data.
“Each quartet variable q i is assigned a free energy e q i derived from empirical thermodynamic data, as described in Ref. [48]”
From Towards secondary structure prediction of longer mRNA sequences using a quantum-centric optimization scheme (2025) · cites this paper as [48]
The Introduction says the free-energy parameters are based on empirical rules generally derived from optical melting experiments, and Website Organization describes parameter values for structural features. The paper does not describe QUBO quartet variables or assigning an energy e_qi to each one, so it supports the empirical basis of the energies but not that specific formulation. (LLM, conf=0.84)
Experimental — accuracy not yet measuredG:U wobble pairing contributes strongly to the energetic stability of a folded RNA sequence but only weakly, if at all, to the stability of its reverse complement.
“Unlike Watson-Crick base pairs, wobble pairs contribute highly to the energetic stability of the folded structure of their sequence, but only slightly, if at all, to the stability of the folded reverse complement.”
From The paradox of dual roles in the RNA world: resolving the conflict between stable folding and templating ability (2013) · cites this paper as Turner and Mathews 2010
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Mfold web server for nucleic acid folding and hybridization prediction
Zuker, M. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg595 · Cited by 13,404 · see citing works
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 · see citing works
Self-citationA unified view of polymer, dumbbell, and oligonucleotide DNA nearest-neighbor thermodynamics.
SantaLucia, J. (1998) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.95.4.1460 · Cited by 2,791 · see citing works
Fast folding and comparison of RNA secondary structures
Hofacker, I. L., Fontana, W., Stadler, P. F., Bonhoeffer, S., Tacker, M., & Schuster, P. M. (1994) · Monatshefte für Chemie - Chemical Monthly · doi:10.1007/bf00818163 · Cited by 2,314 · see citing works
Improved Estimation of Secondary Structure in Ribonucleic Acids
Tinoco, I., Borer, P. N., Dengler, B., Levine, M., Uhlenbeck, O. C., Crothers, D. M., & Gralla, J. D. (1973) · Nature New Biology · doi:10.1038/newbio246040a0 · Cited by 2,270 · see citing works
Mathews, D. H., Disney, M. D., Childs‐Disney, J. L., Schroeder, S. J., Zuker, M., & Turner, D. H. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0401799101 · Cited by 1,625 · see citing works
Self-citationThe thermodynamics of DNA structural motifs.
SantaLucia, J., & Hicks, D. (2004) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.32.110601.141800 · Cited by 1,302 · see citing works
Xia, T., SantaLucia, J., Burkard, M. E., Kierzek, R., Schroeder, S. J., Jiao, X., Cox, C., & Turner, D. H. (1998) · Biochemistry · doi:10.1021/bi9809425 · Cited by 1,140 · see citing works
Self-citationAlgorithms and Thermodynamics for RNA Secondary Structure Prediction: A Practical Guide
Zuker, M., Mathews, D. H., & Turner, D. H. (1999) · Springer eBooks · doi:10.1007/978-94-011-4485-8_2 · Cited by 1,139 · see citing works
Self-citationCONTRAfold: RNA secondary structure prediction without physics-based models
Do, C., Woods, D. A., & Batzoglou, S. (2006) · Intelligent Systems in Molecular Biology · doi:10.1093/bioinformatics/btl246 · Cited by 623 · see citing works
Sfold web server for statistical folding and rational design of nucleic acids
Ding, Y.-B., Chan, C. Y., & Lawrence, C. E. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh449 · Cited by 519 · see citing works
RNA Biochemistry and Biotechnology
Barciszewski, J., & Clark, B. F. C. (1999) · Springer eBooks · doi:10.1007/978-94-011-4485-8 · Cited by 420 · see citing works
A partition function algorithm for nucleic acid secondary structure including pseudoknots
Dirks, R. M., & Pierce, N. (2003) · Journal of Computational Chemistry · doi:10.1002/jcc.10296 · Cited by 403 · see citing works
Efficient parameter estimation for RNA secondary structure prediction
Andronescu, M., Condon, A., Hoos, H. H., Mathews, D. H., & Murphy, K. P. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm223 · Cited by 220 · see citing works
Self-citationPredicting RNA pseudoknot folding thermodynamics
Cao, S., & Chen, S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl346 · Cited by 160 · see citing works
RNAsoft: a suite of RNA secondary structure prediction and design software tools
Andronescu, M. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg612 · Cited by 148 · see citing works
Lü, Z., Turner, D. H., & Mathews, D. H. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl472 · Cited by 136 · see citing works
Self-citationPredicting structures and stabilities for H-type pseudoknots with interhelix loops
Cao, S., & Chen, S. (2009) · RNA · doi:10.1261/rna.1429009 · Cited by 110 · see citing works
From knotted to nested RNA structures: A variety of computational methods for pseudoknot removal
Smit, S., Rother, K. M., Heringa, J., & Knight, R. D. (2008) · RNA · doi:10.1261/rna.881308 · Cited by 84 · see citing works
An approximation of loop free energy values of RNA H-pseudoknots
Gultyaev, A. P., van Batenburg, F. H. D., & Pleij, C. W. A. (1999) · RNA · doi:10.1017/s135583829998189x · Cited by 78 · see citing works
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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 · see citing works
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Self-citationIvica, N. A., Obermayer, B., Campbell, G. W., Rajamani, S., Gerland, U., & Chen, I. A. (2013) · Journal of Molecular Evolution · doi:10.1007/s00239-013-9584-x · Cited by 42 · see citing works
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Siegfried, N. A., Kierzek, R., & Bevilacqua, P. C. (2010) · Journal of the American Chemical Society · doi:10.1021/ja9107726 · Cited by 36 · see citing works
Kumar, V., Alevras, D., Metkar, M., Welling, E., Cade, C., Niesen, I., Friedhoff, T., Park, J.-E., Shivpuje, S., LaDue, M., et al. (2025) · arXiv · doi:10.48550/arxiv.2505.05782 · Cited by 3 · see citing works
“[48].”
- Authors
- Turner, D. H., & Mathews, D. H.
- Affiliations
- University of Rochester Medicine (US)
- Corresponding author
- Mathews, David H.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-10-30
- Volume
- 38
- Issue
- suppl_1
- Pages
- D280-D282
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC2808915
- OpenAlex
- W2159117141
- Cited by
- 575
- References
- 20
- Citations by year
- 2026: 32 · 2025: 36 · 2024: 41 · 2023: 53 · 2022: 55 · 2021: 32 · 2020: 41 · 2019: 37 · 2018: 39 · 2017: 41 · 2016: 29 · 2015: 38 · 2014: 27 · 2013: 27 · 2012: 26
- FWCI
- 6.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (GM 22939, R01GM022939, R01GM076485, GM076485)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Nucleic Acid Chemistry
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- nucleic acid secondary structure, RNA folding, free energy prediction, enthalpy prediction, online databases
- MeSH terms
- Algorithms, Base Sequence, Molecular Sequence Data, Nucleic Acid Conformation, Nucleic Acid Denaturation, RNA, Software, Thermodynamics, Information Storage and Retrieval, Computational Biology, Internet, Databases, Genetic, Databases, Nucleic Acid
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