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The SUPERFAMILY 2.0 database: a significant proteome update and a new webserver.
Pandurangan, Arun Prasad; Stahlhacke, Jonathan; Oates, Matt E; Smithers, Ben; Gough, Julian.
Afiliación
  • Pandurangan AP; MRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 2QH, UK.
  • Stahlhacke J; Computer Science, University of Bristol, Bristol BS8 1UB, UK.
  • Oates ME; Computer Science, University of Bristol, Bristol BS8 1UB, UK.
  • Smithers B; Computer Science, University of Bristol, Bristol BS8 1UB, UK.
  • Gough J; MRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 2QH, UK.
Nucleic Acids Res ; 47(D1): D490-D494, 2019 01 08.
Article en En | MEDLINE | ID: mdl-30445555
Here, we present a major update to the SUPERFAMILY database and the webserver. We describe the addition of new SUPERFAMILY 2.0 profile HMM library containing a total of 27 623 HMMs. The database now includes Superfamily domain annotations for millions of protein sequences taken from the Universal Protein Recourse Knowledgebase (UniProtKB) and the National Center for Biotechnology Information (NCBI). This addition constitutes about 51 and 45 million distinct protein sequences obtained from UniProtKB and NCBI respectively. Currently, the database contains annotations for 63 244 and 102 151 complete genomes taken from UniProtKB and NCBI respectively. The current sequence collection and genome update is the biggest so far in the history of SUPERFAMILY updates. In order to the deal with the massive wealth of information, here we introduce a new SUPERFAMILY 2.0 webserver (http://supfam.org). Currently, the webserver mainly focuses on the search, retrieval and display of Superfamily annotation for the entire sequence and genome collection in the database.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteoma / Bases de Datos de Proteínas / Dominios Proteicos Tipo de estudio: Health_economic_evaluation Idioma: En Revista: Nucleic Acids Res Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteoma / Bases de Datos de Proteínas / Dominios Proteicos Tipo de estudio: Health_economic_evaluation Idioma: En Revista: Nucleic Acids Res Año: 2019 Tipo del documento: Article