UniProt

UniProt is a freely accessible database of protein sequence and functional information, many entries being derived from genome sequencing projects. It contains a large amount of information about the biological function of proteins derived from the research literature.

Overview

The UniProt consortium comprises the European Bioinformatics Institute, the Swiss Institute of Bioinformatics and the Protein Information Resource. It is a collaboration between these institutes that aims to provide the scientific community with a comprehensive, high-quality and freely accessible resource of protein sequence and functional information.

Content

UniProt provides four core databases, each optimized for different uses. The databases are the UniProt Knowledgebase (UniProtKB), the UniProt Reference Clusters (UniRef), the UniProt Archive (UniParc), and the UniProt Metagenomic and Environmental Sequences (UniMES) database.

UniProt Knowledgebase

The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. It consists of two sections: UniProtKB/Swiss-Prot, which is manually annotated and reviewed, and UniProtKB/TrEMBL, which is automatically annotated and not reviewed.

UniProt Reference Clusters

The UniProt Reference Clusters (UniRef) provide clustered sets of sequences from the UniProt Knowledgebase (including isoforms) and selected UniParc records, in order to obtain complete coverage of the sequence space at several resolutions.

UniProt Archive

The UniProt Archive (UniParc) is a comprehensive and accurate repository of protein sequences, which are sourced from many different databases.

UniProt Metagenomic and Environmental Sequences

The UniProt Metagenomic and Environmental Sequences (UniMES) database is a repository specifically developed for the representation of metagenomic and environmental data.

See also

• Protein structure
• Protein–protein interaction
• Protein Data Bank
• Protein subcellular localization prediction

References

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External links

• Official website

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