6533b7dafe1ef96bd126f5ba

RESEARCH PRODUCT

MIPPIE: the mouse integrated protein–protein interaction reference

Martin SchaeferGregorio Alanis-lobatoGregorio Alanis-lobatoJannik S MöllmannMiguel A. Andrade-navarro

subject

Computer scienceved/biology.organism_classification_rank.speciesprotein-protein interactionsCellular homeostasisContext (language use)Computational biologycomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyProtein–protein interaction03 medical and health sciencesMice0302 clinical medicineProtein Interaction MappingMus musculusAnimalsProtein Interaction MapsModel organismDatabases Proteinmousedatabase030304 developmental biology0303 health sciencesved/biologyComputational BiologyComplex networkprotein interaction networkOriginal ArticleWeb serviceUser interfaceGeneral Agricultural and Biological SciencesProtein networkcomputer030217 neurology & neurosurgerySoftwareInformation Systems

description

Abstract Cells operate and react to environmental signals thanks to a complex network of protein–protein interactions (PPIs), the malfunction of which can severely disrupt cellular homeostasis. As a result, mapping and analyzing protein networks are key to advancing our understanding of biological processes and diseases. An invaluable part of these endeavors has been the house mouse (Mus musculus), the mammalian model organism par excellence, which has provided insights into human biology and disorders. The importance of investigating PPI networks in the context of mouse prompted us to develop the Mouse Integrated Protein–Protein Interaction rEference (MIPPIE). MIPPIE inherits a robust infrastructure from HIPPIE, its sister database of human PPIs, allowing for the assembly of reliable networks supported by different evidence sources and high-quality experimental techniques. MIPPIE networks can be further refined with tissue, directionality and effect information through a user-friendly web interface. Moreover, all MIPPIE data and meta-data can be accessed via a REST web service or downloaded as text files, thus facilitating the integration of mouse PPIs into follow-up bioinformatics pipelines.

10.1093/database/baaa035http://europepmc.org/articles/PMC7271249