NNDB

NNDB: the nearest neighbor parameter database for predicting stability of nucleic acid secondary structure. 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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References in zbMATH (referenced in 7 articles , 1 standard article )

Showing results 1 to 7 of 7.
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  1. Willmott, Devin; Murrugarra, David; Ye, Qiang: Improving RNA secondary structure prediction via state inference with deep recurrent neural networks (2020)
  2. Barrera-Cruz, Fidel; Heitsch, Christine; Poznanović, Svetlana: On the structure of RNA branching polytopes (2018)
  3. Clote, Peter; Bayegan, Amir H.: RNA folding kinetics using Monte Carlo and Gillespie algorithms (2018)
  4. Haleš, Jozef; Héliou, Alice; Maňuch, Ján; Ponty, Yann; Stacho, Ladislav: Combinatorial RNA design: designability and structure-approximating algorithm in Watson-Crick and Nussinov-Jacobson energy models (2017)
  5. Huang, Fenix W. D.; Reidys, Christian M.: Topological language for RNA (2016)
  6. Poznanović, Svetlana; Heitsch, Christine E.: Asymptotic distribution of motifs in a stochastic context-free grammar model of RNA folding (2014)
  7. Turner, Douglas H.; Mathews, David H.: NNDB: the nearest neighbor parameter database for predicting stability of nucleic acid secondary structure (2010) ioport