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The Database of Interacting Proteins (DIP) is a biological database which catalogs experimentally determined interactions between proteins. [ 2 ] [ 3 ] It combines information from a variety of sources to create a single, consistent set of protein–protein interactions.
English: A table detailing the interactions between ZFP62 and other proteins in humans. Interacting proteins are organized by highest to lowest MI scores, from 0.4 to 0.35 respectively, and then alphabetically.
The ConsensusPathDB is a molecular functional interaction database, integrating information on protein interactions, genetic interactions signaling, metabolism, gene regulation, and drug-target interactions in humans. ConsensusPathDB currently (release 30) includes such interactions from 32 databases. [1]
For example, the primary database IntAct has 572,063 interactions, [64] the meta-database APID has 678,000 interactions, [65] and the predictive database STRING has 25,914,693 interactions. [66] However, it is important to note that some of the interactions in the STRING database are only predicted by computational methods such as Genomic ...
RNA-binding protein database: Protein-protein and other molecular interactions Database of Interacting Proteins: Univ. of California: Protein-protein and other molecular interactions IntAct [21] EMBL-EBI: open-source database for molecular interactions Protein-protein and other molecular interactions String: an open source molecular interaction ...
Exploring the predicted interaction networks can suggest new directions for future experimental research and provide cross-species predictions for efficient interaction mapping. [7] Protein–protein interaction network visualized by STRING. In this view, the color saturation of the edges represents the confidence score of a functional association
The Biological General Repository for Interaction Datasets (BioGRID) is a curated biological database of protein-protein interactions, genetic interactions, chemical interactions, and post-translational modifications created in 2003 (originally referred to as simply the General Repository for Interaction Datasets (GRID) [2] by Mike Tyers, Bobby-Joe Breitkreutz, and Chris Stark at the Lunenfeld ...
The data in SMID is derived from the Protein Data Bank (PDB), a database of known protein crystal structures. SMID can be queried by entering a protein GI, domain identifier, PDB ID or SMID ID. The results of a search provide small molecule, protein, and domain information for each interaction identified in the database.