Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

CEG 2.0: an updated database of clusters of essential genes including eukaryotic organisms.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
اقرأ على الانترنت اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • المصدر:
      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
    • بيانات النشر:
      Original Publication: Oxford : Oxford Journals, 2009-
    • الموضوع:
      Eukaryota* ; Genes, Essential*/genetics; Databases, Factual ; Genomics ; Humans ; Proteins
    • نبذة مختصرة :
      Essential genes are key elements for organisms to maintain their living. Building databases that store essential genes in the form of homologous clusters, rather than storing them as a singleton, can provide more enlightening information such as the general essentiality of homologous genes in multiple organisms. In 2013, the first database to store prokaryotic essential genes in clusters, CEG (Clusters of Essential Genes), was constructed. Afterward, the amount of available data for essential genes increased by a factor >3 since the last revision. Herein, we updated CEG to version 2, including more prokaryotic essential genes (from 16 gene datasets to 29 gene datasets) and newly added eukaryotic essential genes (nine species), specifically the human essential genes of 12 cancer cell lines. For prokaryotes, information associated with drug targets, such as protein structure, ligand-protein interaction, virulence factor and matched drugs, is also provided. Finally, we provided the service of essential gene prediction for both prokaryotes and eukaryotes. We hope our updated database will benefit more researchers in drug targets and evolutionary genomics. Database URL: http://cefg.uestc.cn/ceg.
      (© The Author(s) 2020. Published by Oxford University Press.)
    • References:
      Nucleic Acids Res. 2015 Jan;43(Database issue):D261-9. (PMID: 25428365)
      Methods Mol Biol. 2015;1279:205-17. (PMID: 25636621)
      Microb Cell Fact. 2018 Jan 09;17(1):2. (PMID: 29316921)
      BMC Genomics. 2013 Nov 09;14:769. (PMID: 24209780)
      Nucleic Acids Res. 2019 Jan 8;47(D1):D506-D515. (PMID: 30395287)
      Nucleic Acids Res. 2017 Jan 4;45(D1):D940-D944. (PMID: 27799467)
      PLoS One. 2013 Aug 15;8(8):e72343. (PMID: 23977285)
      Front Microbiol. 2017 Nov 27;8:2331. (PMID: 29230204)
      Sci Rep. 2018 Jul 5;8(1):10223. (PMID: 29976927)
      Nucleic Acids Res. 2019 Jan 8;47(D1):D687-D692. (PMID: 30395255)
      PLoS Comput Biol. 2015 Nov 13;11(11):e1004530. (PMID: 26566239)
      Nucleic Acids Res. 2019 Jan 8;47(D1):D807-D811. (PMID: 30395283)
      Nat Rev Genet. 2018 Jan;19(1):34-49. (PMID: 29033457)
      Nucleic Acids Res. 2014 Jan;42(Database issue):D574-80. (PMID: 24243843)
      Front Genet. 2020 Jan 21;10:1342. (PMID: 32038710)
      Nucleic Acids Res. 2013 Jan;41(Database issue):D1096-103. (PMID: 23087378)
      Nucleic Acids Res. 2018 Jan 4;46(D1):D1074-D1082. (PMID: 29126136)
      Microb Pathog. 2019 May;130:271-282. (PMID: 30914386)
    • الرقم المعرف:
      0 (Proteins)
    • الموضوع:
      Date Created: 20201211 Date Completed: 20211027 Latest Revision: 20211027
    • الموضوع:
      20231215
    • الرقم المعرف:
      PMC7731928
    • الرقم المعرف:
      10.1093/database/baaa112
    • الرقم المعرف:
      33306800