UniProt

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Overview[edit | edit source]

The UniProt logo

UniProt (Universal Protein Resource) is a comprehensive, high-quality, and freely accessible database of protein sequence and functional information. It is a central hub for the collection of functional information on proteins, with accurate, consistent, and rich annotation. UniProt is a collaboration between the European Bioinformatics Institute (EBI), the Swiss Institute of Bioinformatics (SIB), and the Protein Information Resource (PIR).

History[edit | edit source]

UniProt was created in 2002 by the merger of three major protein sequence databases: Swiss-Prot, TrEMBL, and PIR-PSD. The goal was to provide a single, centralized resource for protein sequence and functional information.

Components[edit | edit source]

UniProt consists of several components:

  • UniProtKB (UniProt Knowledgebase): The central database of protein sequences and functional information, which is divided into two sections:
 * Swiss-Prot: A manually annotated and reviewed section.
 * TrEMBL: A section that contains computationally analyzed records that await full manual annotation.
  • UniParc (UniProt Archive): A comprehensive and non-redundant database that contains most of the publicly available protein sequences in the world.
  • UniRef (UniProt Reference Clusters): Provides clustered sets of sequences from UniProtKB and selected UniParc records to obtain complete coverage of sequence space at several resolutions.

Features[edit | edit source]

UniProt provides a wide range of features, including:

Access and Tools[edit | edit source]

UniProt is accessible through its website, which provides a user-friendly interface for searching and retrieving data. It also offers various tools for sequence analysis, including:

  • BLAST: For sequence similarity searching.
  • Align: For multiple sequence alignment.
  • Retrieve/ID mapping: For converting between different database identifiers.

Applications[edit | edit source]

UniProt is widely used in bioinformatics, molecular biology, and biomedical research. It supports a variety of applications, including:

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Contributors: Prab R. Tumpati, MD