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Protein–protein interaction prediction is a field combining bioinformatics and structural biology in an attempt to identify and catalog physical interactions between pairs or groups of proteins. Understanding protein–protein interactions is important for the investigation of intracellular signaling pathways, modelling of protein complex ...
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.
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.
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
This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...
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 protein protein interactions are displayed in a signed network that describes what type of interactions that are taking place [74] Protein–protein interactions often result in one of the interacting proteins either being 'activated' or 'repressed'. Such effects can be indicated in a PPI network by "signs" (e.g. "activation" or "inhibition").
PredictProtein (PP) is an automatic service that searches up-to-date public sequence databases, creates alignments, and predicts aspects of protein structure and function. Users send a protein sequence and receive a single file with results from database comparisons and prediction methods.
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related to: protein interaction prediction database project