The Universal Protein Resource (UniProt): an expanding universe of protein information

The Universal Protein Resource (UniProt): an expanding universe of protein information

2006 | Cathy H. Wu, Rolf Apweiler, Amos Bairoch, Darren A. Natale, Winona C. Barker, Brigitte Boeckmann, Serenella Ferro, Elisabeth Gasteiger, Hongzhan Huang, Rodrigo Lopez, Michele Magrane, Maria J. Martin, Raja Mazumder, Claire O'Donovan, Nicole Redaschi and Baris Suzek
The Universal Protein Resource (UniProt) is a comprehensive database that provides central access to protein sequences and functional annotations. It consists of three main components: the UniProt Knowledgebase (UniProtKB), the UniProt Archive (UniParc), and the UniProt Reference Clusters (UniRef). UniProtKB, which includes manually annotated UniProtKB/Swiss-Prot and automatically annotated UniProtKB/TrEMBL sections, is the primary repository for protein annotations. UniParc stores all publicly available protein sequences, while UniRef compresses sequence space to facilitate similarity searches. Recent and upcoming changes to UniProt include new download options, a bibliography mapping service, and an ID mapping service. The resource aims to support modern biological research by providing stable, comprehensive, and high-quality protein information, with efficient access mechanisms.The Universal Protein Resource (UniProt) is a comprehensive database that provides central access to protein sequences and functional annotations. It consists of three main components: the UniProt Knowledgebase (UniProtKB), the UniProt Archive (UniParc), and the UniProt Reference Clusters (UniRef). UniProtKB, which includes manually annotated UniProtKB/Swiss-Prot and automatically annotated UniProtKB/TrEMBL sections, is the primary repository for protein annotations. UniParc stores all publicly available protein sequences, while UniRef compresses sequence space to facilitate similarity searches. Recent and upcoming changes to UniProt include new download options, a bibliography mapping service, and an ID mapping service. The resource aims to support modern biological research by providing stable, comprehensive, and high-quality protein information, with efficient access mechanisms.
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