The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions.
Rose OughtredJennifer RustChristie ChangBobby-Joe BreitkreutzChris StarkAndrew WillemsLorrie BoucherGenie LeungNadine KolasFrederick ZhangSonam DolmaJasmin Coulombe-HuntingtonAndrew Chatr-AryamontriKara J DolinskiMike TyersPublished in: Protein science : a publication of the Protein Society (2020)
The BioGRID (Biological General Repository for Interaction Datasets, thebiogrid.org) is an open-access database resource that houses manually curated protein and genetic interactions from multiple species including yeast, worm, fly, mouse, and human. The ~1.93 million curated interactions in BioGRID can be used to build complex networks to facilitate biomedical discoveries, particularly as related to human health and disease. All BioGRID content is curated from primary experimental evidence in the biomedical literature, and includes both focused low-throughput studies and large high-throughput datasets. BioGRID also captures protein post-translational modifications and protein or gene interactions with bioactive small molecules including many known drugs. A built-in network visualization tool combines all annotations and allows users to generate network graphs of protein, genetic and chemical interactions. In addition to general curation across species, BioGRID undertakes themed curation projects in specific aspects of cellular regulation, for example the ubiquitin-proteasome system, as well as specific disease areas, such as for the SARS-CoV-2 virus that causes COVID-19 severe acute respiratory syndrome. A recent extension of BioGRID, named the Open Repository of CRISPR Screens (ORCS, orcs.thebiogrid.org), captures single mutant phenotypes and genetic interactions from published high throughput genome-wide CRISPR/Cas9-based genetic screens. BioGRID-ORCS contains datasets for over 1,042 CRISPR screens carried out to date in human, mouse and fly cell lines. The biomedical research community can freely access all BioGRID data through the web interface, standardized file downloads, or via model organism databases and partner meta-databases.
Keyphrases
- genome wide
- high throughput
- dna methylation
- sars cov
- copy number
- crispr cas
- protein protein
- endothelial cells
- amino acid
- binding protein
- coronavirus disease
- genome editing
- small molecule
- risk assessment
- rna seq
- healthcare
- emergency department
- randomized controlled trial
- minimally invasive
- systematic review
- big data
- transcription factor
- climate change
- adverse drug
- induced pluripotent stem cells
- respiratory syndrome coronavirus
- genetic diversity
- hepatitis c virus
- machine learning
- wild type
- respiratory tract
- hiv testing