3 datasets found
  1. Database of Interacting Proteins (DIP)

    • healthdata.gov
    • data.virginia.gov
    • +2more
    application/rdfxml +5
    Updated Feb 13, 2021
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    (2021). Database of Interacting Proteins (DIP) [Dataset]. https://healthdata.gov/dataset/Database-of-Interacting-Proteins-DIP-/bax8-kk78
    Explore at:
    csv, json, application/rdfxml, application/rssxml, xml, tsvAvailable download formats
    Dataset updated
    Feb 13, 2021
    Description

    The DIP database catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database are curated both manually by expert curators and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data.

  2. b

    Database of Interacting Proteins

    • bioregistry.io
    Updated Apr 22, 2021
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    (2021). Database of Interacting Proteins [Dataset]. http://identifiers.org/re3data:r3d100010670
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    Dataset updated
    Apr 22, 2021
    Description

    The database of interacting protein (DIP) database stores experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions

  3. n

    Database of Interacting Proteins (DIP)

    • neuinfo.org
    • scicrunch.org
    • +2more
    Updated Mar 19, 2025
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    (2025). Database of Interacting Proteins (DIP) [Dataset]. http://identifiers.org/RRID:SCR_003167
    Explore at:
    Dataset updated
    Mar 19, 2025
    Description

    Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2021). Database of Interacting Proteins (DIP) [Dataset]. https://healthdata.gov/dataset/Database-of-Interacting-Proteins-DIP-/bax8-kk78
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Database of Interacting Proteins (DIP)

Explore at:
csv, json, application/rdfxml, application/rssxml, xml, tsvAvailable download formats
Dataset updated
Feb 13, 2021
Description

The DIP database catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database are curated both manually by expert curators and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data.

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