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UniProtKB/Swiss-Prot DATABASE
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 UniProtKB/Swiss-Prot   
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spacer The UniProtKB/Swiss-Prot Protein Knowledgebase is an annotated protein sequence database established in 1986.

The UniProtKB/Swiss-Prot Protein Knowledgebase is a curated protein sequence database that provides a high level of annotation, a minimal level of redundancy and a high level of integration with other databases. Together with UniProtKB/TrEMBL, it constitutes the UniProt Knowledgebase, one component of the Universal Protein Resource (UniProt), a one-stop shop allowing easy access to all publicly available information about protein sequences.

It is maintained collaboratively by the Swiss Institute for Bioinformatics (SIB) and the European Bioinformatics Institute (EBI).

The UniProtKB/Swiss-Prot group is headed by: Rolf Apweiler.


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  Access the UniProtKB/Swiss-Prot Database
spacer SRS - is the easiest and simplest method available to quickly access the UniProtKB/Swiss-Prot sequence database.

UniProt Power Search - Provides full text, advanced search, set manipulation and search filtering on the Universal Protein Resource.

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  ExPASY
spacer The ExPASy (Expert Protein Analysis System) proteomics server of the Swiss Institute of Bioinformatics (SIB) is dedicated to the analysis of protein sequences and structures as well as 2-D PAGE.

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  Latest EBI News
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UniProt
 
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UniProt (Universal Protein Resource) is a central repository of protein sequence and function created by joining the information contained in UniProtKB/Swiss-Prot, UniProtKB/TrEMBL, and PIR.
 
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UniProtKB/
TrEMBL
 
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A protein sequence database of nucleotide translated sequences.

The UniProtKB/TrEMBL sequence database contains the translations of all coding sequences (CDS) present in the DDBJ/EMBL/GenBank Nucleotide Sequence Database and also protein sequences extracted from the literature or submitted to UniProtKB/Swiss-Prot, which are not yet integrated into UniProtKB/Swiss-Prot.
 
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GOA
 
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GOA is a project that aims to provide assignments of gene products to the Gene Ontology (GO) resource. The goal of the GO Consortium is to produce a dynamic controlled vocabulary that can be applied to all organisms.
 
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