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.|
- 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
Recent BioMed Central research articles citing this resource
Leettola N Catherine et al., Characterization of the SAM domain of the PKD-related protein ANKS6 and its interaction with ANKS3 Crystallography. BMC Structural Biology (2014) doi:10.1186/1472-6807-14-17
Steeb Hannah et al., Serum proteomic analysis identifies sex-specific differences in lipid metabolism and inflammation profiles in adults diagnosed with Asperger syndrome. Molecular Autism (2014) doi:10.1186/2040-2392-5-4
Čiplys Evaldas et al., Generation of human ER chaperone BiP in yeast Saccharomyces cerevisiae. Microbial Cell Factories (2014) doi:10.1186/1475-2859-13-22
De Ferrari Luna et al., From sequence to enzyme mechanism using multi-label machine learning Sequence analysis (applications). BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-150
Wang Ji et al., An integrative strategy for quantitative analysis of the N-glycoproteome in complex biological samples. Proteome Science (2014) doi:10.1186/1477-5956-12-4
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.
The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
Copyright 2009, OpenHelix, LLC.