A guide to UniProt for students

UniProt provides the scientific community with a comprehensive, high-quality and freely accessible resource of protein sequence and functional information.
This webinar will guide you through ways in which students and researchers at all career stages may take a structured approach to access the data in the UniProtKB and Proteomes sections of the UniProt protein function database.
The webinar will discuss the types of data that can be accessed, and using sequence analysis tools, how this data can be analysed to answer biological questions. We will demonstrate how to find the function of a protein, how the protein components of a pathway may be identified, features of proteins of interest can be compared, similar sections of sequence can be sought in other species and how whole data sets containing all the proteins expressed in an organism can be obtained. By accessing sequence, structural and functional data through UniProt, we want researchers to be part of data’s biological journey and support further work and adventures along the way!
This webinar was recorded on 27 October 2022. The slides are available to view at www.ebi.ac.uk/...

[@sabaokangan]

Thank you so much for sharing this with us 🙏

[@jameelabduljalil25]

Thank you!

[@duafatima6283]

Hi, thank you for the video. Which proteins are more reliable to analyze out of reviewed or unreviewed sets?

[@EMBL-EBI]

The reviewed dataset (UniProt/SwissProt) is a high quality manually annotated and non-redundant protein sequence database, which brings together experimental results, computed features and scientific conclusions. It contains protein sequences with evidence at the protein level. In SwissProt, each protein has been manually curated by expert curators based on:
-Experiments described in peer-reviewed literature
-Sequence and homology analysis
The unreviewed dataset (UniProtKB/TrEMBL) contains many more sequences from various genome sequencing projects. TrEMBL contains high quality computationally analyzed records that are enriched with automatic annotation and classification. Sequences have not been manually reviewed by a curator and do not contain experimental annotations from literature. Annotations are based on automatic annotation systems that learn from SwissProt entries, such as UniRule and ARBA. Sequences may not have evidence at the protein level and some sequences may be incomplete (labeled as fragments).
Ultimately, the choice between these datasets depends on the user's specific needs. Both the experimental-based annotations in SwissProt and the automatic annotation system in TrEMBL are considered reliable sources for protein feature annotations. SwissProt prioritizes accuracy and experimental validation, while TrEMBL offers a much larger dataset generated through automated methods.