A database resource and online analysis tools for coronaviruses on a historical and global scale.

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  • Author(s): Zhu Z;Zhu Z; Meng K; Meng K; Liu G; Liu G; Meng G; Meng G
  • Source:
    Database : the journal of biological databases and curation [Database (Oxford)] 2021 Aug 05; Vol. 2020.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Oxford Journals Country of Publication: England NLM ID: 101517697 Publication Model: Print Cited Medium: Internet ISSN: 1758-0463 (Electronic) Linking ISSN: 17580463 NLM ISO Abbreviation: Database (Oxford) Subsets: MEDLINE
    • Publication Information:
      Original Publication: Oxford : Oxford Journals, 2009-
    • Subject Terms:
      Databases, Genetic* ; Genes, Viral* ; Genome, Viral* ; Proteome*; COVID-19/*virology ; SARS-CoV-2/*pathogenicity ; Viral Proteins/*genetics ; Viral Proteins/*metabolism; Animals ; COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/therapy ; Data Mining ; Databases, Protein ; Evolution, Molecular ; Gene Expression Regulation, Viral ; Humans ; Internet ; Phylogeny ; Protein Conformation ; SARS-CoV-2/genetics ; SARS-CoV-2/metabolism ; Structure-Activity Relationship
    • Abstract:
      The recent outbreak of COVID-19 caused by a new zoonotic origin coronavirus (SARS-CoV-2 or 2019-nCoV) has sound the alarm for the potential spread of epidemic coronavirus crossing species. With the urgent needs to assist disease control and to provide invaluable scientific information, we developed the coronavirus database (CoVdb), an online genomic, proteomic and evolutionary analysis platform. CoVdb has brought together genomes of more than 5000 coronavirus strains, which were collected from 1941 to 2020, in more than 60 countries and in hosts belonging to more than 30 species, ranging from fish to human. CoVdb presents comprehensive genomic information, such as gene function, subcellular localization, topology and protein structure. To facilitate coronavirus research, CoVdb also provides flexible search approaches and online tools to view and analyze protein structure, to perform multiple alignments, to automatically build phylogenetic trees and to carry on evolutionary analyses. CoVdb can be accessed freely at http://covdb.popgenetics.net. Hopefully, it will accelerate the progress to develop medicines or vaccines to control the pandemic of COVID-19.
      (© The Author(s) 2020. Published by Oxford University Press.)
    • Grant Information:
      2019YFC1604600 National Key Research and Development Program; 31200941 National Natural Science Foundation of China; 19226631D National Natural Science Foundation of HeBei Province; 106112016CDJXY290002 Fundamental Research Funds for the Central Universities
    • Contributed Indexing:
      Keywords: 2019-nCoV; COVID-19; SARS-CoV-2; coronavirus
    • Accession Number:
      0 (Proteome)
      0 (Viral Proteins)
    • Publication Date:
      Date Created: 20201003 Date Completed: 20210811 Latest Revision: 20210811
    • Publication Date:
      20240105
    • Accession Number:
      PMC7665380
    • Accession Number:
      10.1093/database/baaa070
    • Accession Number:
      33009914