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How to filter protein annotations in UniProt?

Discover how to filter protein annotations on UniProt. Learn to navigate the site, apply specific filters, and export results for efficient data analysis.

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How to filter protein annotations in UniProt?

 

Access the UniProt Website

 

  • Open your web browser and go to the official UniProt website at https://www.uniprot.org.
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  • Ensure you have a stable internet connection for a seamless browsing and filtering experience.

 

Navigate to the Search Interface

 

  • On the UniProt homepage, locate the search bar prominently displayed at the top of the page.
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  • Click on the Advanced Search link beneath the search bar for more nuanced filtering options.

 

Specify Protein Annotations

 

  • Within the advanced search interface, locate the filters related to protein annotations such as "Function", "Subcellular Location", or "Pathology & BioTech".
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  • Select the desired annotation category by checking the specific boxes provided.

 

Apply Additional Filters

 

  • You can narrow down your search further by applying additional filters such as "Reviewed" for Swiss-Prot entries or "Unreviewed" for TrEMBL entries.
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  • Utilize additional parameters like organism, sequence length, or keywords to fine-tune your search results.

 

Execute the Search

 

  • After setting your desired filters, click the Search button to execute your query.
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  • Review the results page to ensure the search parameters have effectively filtered the protein annotations you are interested in.

 

Review and Export Results

 

  • Examine the list of proteins provided and click on individual entries for detailed information.
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  • For offline analysis, you can export the filtered data by choosing the Download option, selecting your preferred format (e.g., XML, CSV, or plain text).

 

Refine Your Search

 

  • If the results aren’t as expected, adjust your filters and search terms to refine your search.
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  • Bear in mind that the relevancy of the annotations might depend on the specificity of your search criteria.

 

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