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NNDB: An Expanded Database of Nearest Neighbor Parameters for Predicting Stability of Nucleic Acid Secondary Structures.
Mittal, Abhinav; Turner, Douglas H; Mathews, David H.
Afiliação
  • Mittal A; Department of Biochemistry & Biophysics, University of Rochester Medical Center, Rochester, NY 14642, USA; Center for RNA Biology, University of Rochester Medical Center, Rochester, NY 14642, USA.
  • Turner DH; Center for RNA Biology, University of Rochester Medical Center, Rochester, NY 14642, USA; Department of Chemistry, University of Rochester, Rochester, NY 14627, USA.
  • Mathews DH; Department of Biochemistry & Biophysics, University of Rochester Medical Center, Rochester, NY 14642, USA; Center for RNA Biology, University of Rochester Medical Center, Rochester, NY 14642, USA. Electronic address: David_Mathews@urmc.rochester.edu.
J Mol Biol ; 436(17): 168549, 2024 Sep 01.
Article em En | MEDLINE | ID: mdl-38522645
ABSTRACT
Nearest neighbor thermodynamic parameters are widely used for RNA and DNA secondary structure prediction and to model thermodynamic ensembles of secondary structures. The Nearest Neighbor Database (NNDB) is a freely available web resource (https//rna.urmc.rochester.edu/NNDB) that provides the functional forms, parameter values, and example calculations. The NNDB provides the 1999 and 2004 set of RNA folding nearest neighbor parameters. We expanded the database to include a set of DNA parameters and a set of RNA parameters that includes m6A in addition to the canonical RNA nucleobases. The site was redesigned using the Quarto open-source publishing system. A downloadable PDF version of the complete resource and downloadable sets of nearest neighbor parameters are available.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA / RNA / Conformação de Ácido Nucleico Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA / RNA / Conformação de Ácido Nucleico Idioma: En Ano de publicação: 2024 Tipo de documento: Article