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UniProt, Universal Protein Resource

Tutorial and training materials by OpenHelix

Learn to use the UniProt Knowledgebase, which has detailed curated information about known proteins, with predictions and computational assignments for both characterized and uncharacterized proteins. The UniRef layer provides clustered handy links to related proteins. UniParc archive records collect non-redundant but complete collections of protein sequence data. This tutorial will explore each type of record--UniProt, UniRef, and UniParc, and examine available search strategies. This resource is a foundational tool for proteomics research.
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You'll learn:

  • to perform text searches for relevant protein information
  • to search with sequences as a starting point
  • to understand the different types of UniProt records
  • to create multi-sequence alignments from protein records using Clustal


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Recent BioMed Central research articles citing this resource

Peng Qin et al., Genomic characteristics and comparative genomics analysis of Penicillium chrysogenum KF-25 Eukaryote microbial genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-144

Hosseinzadeh Hossein et al., Proteomic screening of molecular targets of crocin. DARU Journal of Pharmaceutical Sciences (2014) doi:10.1186/2008-2231-22-5

Qu Zhe et al., NitroDIGE analysis reveals inhibition of protein S -nitrosylation by epigallocatechin gallates in lipopolysaccharide-stimulated microglial cells. Journal of Neuroinflammation (2014) doi:10.1186/1742-2094-11-17

Karsani Anuar Saiful et al., Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins. Proteome Science (2014) doi:10.1186/1477-5956-12-3

Marshall John et al., Creation of a federated database of blood proteins: a powerful new tool for finding and characterizing biomarkers in serum. Clinical Proteomics (2014) doi:10.1186/1559-0275-11-3

More about the resource:

The UniProt Resource which is a centralized database for protein sequences and data, comes from the UniProt Consortium, a team consisting of members of the Swiss Bioinformatics Institute (SIB), the European Bioinformatics Institute (EBI), and the Protein Information Resource (PIR). These groups have come together to create a comprehensive and authoritative protein data resource for researchers.


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