CORUM: the comprehensive resource of mammalian protein complexes—2009
By Andreas Ruepp, Brigitte Waegele, Martin Lechner, Barbara Brauner, I. Dunger, G. Fobo, Goar Frishman, Corinna Montrone, Hans-Werner Mewes. 2007
998 citations recorded by the source corpus.
CORUM is a database that provides a manually curated repository of experimentally characterized protein complexes from mammalian organisms, mainly human (64%), mouse (16%) and rat (12%). Protein complexes are key molecular entities that integrate multiple gene products to perform cellular functions. The new CORUM 2.0 release encompasses 2837 protein complexes offering the largest and most comprehensive publicly available dataset of mammalian protein complexes. The CORUM dataset is built from 3198 different genes, representing ∼16% of the protein coding genes in humans. Each protein complex is described by a protein complex name, subunit composition, function as well as the literature reference that characterizes the respective protein complex. Recent developments include mapping of functional annotation to Gene Ontology terms as well as cross-references to Entrez Gene identifiers. In addition, a ‘Phylogenetic Conservation’ analysis tool was implemented that analyses the potential occurrence of orthologous protein complex subunits in mammals and other selected groups of organisms. This allows one to predict the occurrence of protein complexes in different phylogenetic groups. CORUM is freely accessible at (http://mips.helmholtz-muenchen.de/genre/proj/corum/index.html).
Subfields: Molecular Biology
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In Molecular Biology
- Jüergen Cox
- Albert-László Barabási
- Matthias Mann
- Christoph Schaab
- T. Geiger
- Jörg Menche
- Jaak Vilo
- Natali Gulbahce
Citations in the corpus
- Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins (2012, methodology): “Functional Analysis of Cell Lines Across the Abundance Range—To examine the functional differences between cell lines we used multiple protein annotation databases: GO, KEGG pathways, the CORUM molecular complexes database (27), and the TRANSFAC transcription factor targets database (26).”
- A DIseAse MOdule Detection (DIAMOnD) Algorithm Derived from a Systematic Analysis of Connectivity Patterns of Disease Proteins in the Human Interactome (2015, methodology): “The CORUM database [48] is a collection of mammalian complexes derived from a variety of experimental tools, from co-immunoprecipitation to co-sedimentation and ion exchange chromatography.”
- A proteome-scale map of the human interactome network. (2014, methodology): “Second, we measured how much binary interactions from HI-II-14 reflect membership in larger protein complexes as annotated in CORUM (Ruepp et al., 2010) or reported in a cocomplex association map (Woodsmith and Stelzl, 2014).”
- Networks beyond pairwise interactions: structure and dynamics (2020, background): “Among the first higher-order analyses in biology were studies showing that the hypergraphs corresponding to mammalian protein complexes [681] had a scale-free distributions of both node degrees and hyperedge sizes [682].”
- 1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data (2012, background): “For human data the Corum database [27] is a well curated repository of protein complexes.”
- Cumulative Haploinsufficiency and Triplosensitivity Drive Aneuploidy Patterns to Shape the Cancer Genome (2013, positive): “General Properties of Cancer Drivers High Interactivity To search for unique properties of TSGs and OGs, we examined the degree to which these drivers participate in protein complexes using the CORUM database of experimentally validated human protein complexes (Ruepp et al., 2010).”
- Structure-based prediction of protein-protein interactions on a genome-wide scale (2012, neutral): “de/genre/proj/corum, see reference [21]).”