I2D
I2D integrates known, experimental, and predicted protein-protein interactions (PPIs) for Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, Mus musculus, and humans to enable comparative interactome analysis and interolog-based inference of human interactions.
Key Features:
- Multi-species PPI integration: Combines known, experimental, and predicted PPIs across five model organisms and humans.
- Interolog transfer: Uses interologs to transfer conserved interactions between species to supplement interactomes.
- Evolutionary conservation analysis: Reports that protein complexes are preferentially conserved across species and shows a positive correlation between number of interacting proteins and evolutionary conservation when mapping human proteins onto yeast.
- Literature-derived data sources: Incorporates interactions from databases including BIND, HPRD, and MINT.
- Domain-based evaluation: Evaluates predicted interactions using protein domain information.
- Co-expression evaluation: Evaluates predicted interactions using gene co-expression patterns.
- GO-term evaluation: Evaluates predicted interactions using Gene Ontology (GO) terms.
- Predicted human interactions: Contains a set of 23,889 predicted human interactions.
- Querying: Supports queries using single or multiple identifiers.
- Network visualization and export: Provides custom graph visualization of query results and supports export in tab-delimited and PSI-MI formats.
Scientific Applications:
- Comparative interactomics: Comparative analysis of interactomes across Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, Mus musculus, and humans.
- Interolog-based interactome expansion: Expansion of the human interactome through conserved interactions inferred from model organisms.
- Conservation studies: Investigation of conservation patterns distinguishing protein complexes from transient interactions.
- Systems biology analyses: Network-level studies of PPI organization and evolution.
- Experimental planning and validation: Prioritization and selection of predicted PPIs for experimental follow-up using domain, co-expression, and GO evidence.
Methodology:
Integrates known, experimental, and predicted PPIs; transfers interactions across species via interologs; incorporates literature-derived interactions from BIND, HPRD, and MINT; and evaluates predicted interactions using protein domains, gene co-expression patterns, and Gene Ontology (GO) terms.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 3/30/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Brown KR and Jurisica I. Online predicted human interaction database. Bioinformatics. 2005; 21:2076-82. doi: 10.1093/bioinformatics/bti273
Brown KR and Jurisica I. Unequal evolutionary conservation of human protein interactions in interologous networks. Genome Biol. 2007; 8:R95. doi: 10.1186/gb-2007-8-5-r95