BioGRID: a general repository for interaction datasets
Chris Stark,Bobby-Joe Breitkreutz,Teresa Reguly,Lorrie Boucher,Ashton Breitkreutz,Mike Tyers +5 more
TLDR
BioGRID is a freely accessible database of physical and genetic interactions that includes >116 000 interactions from Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster and Homo sapiens.Abstract:
Access to unified datasets of protein and genetic interactions is critical for interrogation of gene/protein function and analysis of global network properties. BioGRID is a freely accessible database of physical and genetic interactions available at http://www.thebiogrid.org. BioGRID release version 2.0 includes >116 000 interactions from Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster and Homo sapiens. Over 30 000 interactions have recently been added from 5778 sources through exhaustive curation of the Saccharomyces cerevisiae primary literature. An internally hyper-linked web interface allows for rapid search and retrieval of interaction data. Full or user-defined datasets are freely downloadable as tab-delimited text files and PSI-MI XML. Pre-computed graphical layouts of interactions are available in a variety of file formats. User-customized graphs with embedded protein, gene and interaction attributes can be constructed with a visualization system called Osprey that is dynamically linked to the BioGRID.read more
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Defining the Human Deubiquitinating Enzyme Interaction Landscape
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Identification and characterization of essential genes in the human genome
Timothy C. Wang,Kıvanç Birsoy,Nicholas W. Hughes,Kevin M. Krupczak,Yorick Post,Yorick Post,Jenny J. Wei,Eric S. Lander,Eric S. Lander,Eric S. Lander,David M. Sabatini +10 more
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The IFITM Proteins Mediate Cellular Resistance to Influenza A H1N1 Virus, West Nile Virus, and Dengue Virus
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Walking the Interactome for Prioritization of Candidate Disease Genes
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Classical Nuclear Localization Signals: Definition, Function, and Interaction with Importin α
Allison Lange,Ryan E. Mills,Christopher J. Lange,Murray Stewart,Scott E. Devine,Anita H. Corbett +5 more
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References
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TL;DR: Comparison of the HMS-PCI data set with interactions reported in the literature revealed an average threefold higher success rate in detection of known complexes compared with large-scale two-hybrid studies.
Journal ArticleDOI
From molecular to modular cell biology.
TL;DR: General principles that govern the structure and behaviour of modules may be discovered with help from synthetic sciences such as engineering and computer science, from stronger interactions between experiment and theory in cell biology, and from an appreciation of evolutionary constraints.
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