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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 ...
KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
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.
Version 3.0 also included drug transporter data, drug pathway data, drug pricing, patent and manufacturing data as well as data on >5000 experimental drugs. Version 4.0 was released in 2014. [ 4 ] This version included 1558 FDA-approved small molecule drugs, 155 biotech drugs and 4200 unique drug targets.
general repository for interaction datasets Protein-protein and other molecular interactions 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
Chemical-Protein Interactions curated and predicted "STITCH". 500,000 SuperDRUG2 Structural Bioinformatics Group drugs targets targets, dose, side effects, Canonical SMILES, Standard InChI, Standard InChIKey, DrugBank, ChEMBL, DrugCentral, KEGG, PubChem, CASRN SD "SuperDRUG2". 4,600 Super Natural II natural product chemicals SMILES vendors SN00
This choice would aid drug-discovery for the selected targets, as well as the development of both ligand-based and structure-based methods of computational ligand-design. This is the current focus of BindingDB, which is led by Michael Gilson , based at UC San Diego 's Skaggs School of Pharmacy and Pharmaceutical Sciences , and supported by a ...
When two drugs affect each other, it is a drug–drug interaction (DDI). The risk of a DDI increases with the number of drugs used. [1] A large share of elderly people regularly use five or more medications or supplements, with a significant risk of side-effects from drug–drug interactions. [2] Drug interactions can be of three kinds ...