The Nucleic Acid Knowledgebase: a new portal for 3D structural information about nucleic acids.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
11 Nov 2023
Historique:
accepted: 16 10 2023
revised: 02 10 2023
received: 10 08 2023
medline: 13 11 2023
pubmed: 13 11 2023
entrez: 12 11 2023
Statut: aheadofprint

Résumé

The Nucleic Acid Knowledgebase (nakb.org) is a new data resource, updated weekly, for experimentally determined 3D structures containing DNA and/or RNA nucleic acid polymers and their biological assemblies. NAKB indexes nucleic acid-containing structures derived from all major structure determination methods (X-ray, NMR and EM), including all held by the Protein Data Bank (PDB). As the planned successor to the Nucleic Acid Database (NDB), NAKB's design preserves all functionality of the NDB and provides novel nucleic acid-centric content, including structural and functional annotations, as well as annotations from and links to external resources. A variety of custom interactive tools have been developed to enable rapid exploration and drill-down of NAKB's content.

Identifiants

pubmed: 37953312
pii: 7416380
doi: 10.1093/nar/gkad957
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
ID : R01GM085328
Pays : United States

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.

Auteurs

Catherine L Lawson (CL)

Institute for Quantitative Biomedicine, Rutgers, State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA.
Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.

Helen M Berman (HM)

Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.

Li Chen (L)

Institute for Quantitative Biomedicine, Rutgers, State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA.
Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.

Brinda Vallat (B)

Institute for Quantitative Biomedicine, Rutgers, State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA.
Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.

Craig L Zirbel (CL)

Department of Mathematics and Statistics, Bowling Green State University, Bowling Green, OH 43403, USA.

Classifications MeSH