InteroPORC
InteroPORC predicts protein-protein interaction (PPI) networks across sequenced genomes using Integr8 and interolog-based transfer to elucidate protein relationships across species.
Key Features:
- Integration of Known Interactions and Orthologous Clusters: Combines known PPIs with clusters of orthologous proteins to improve prediction of interactions across species.
- Systematic Transfer via Interologs: Uses interologs (homologous protein pairs) to systematically transfer experimentally observed interactions from model organisms to other species.
- Automated Prediction Across Sequenced Genomes: Applies PPI prediction across all sequenced genomes contained in the Integr8 database.
- Application to Synechocystis: Generated an inferred interaction network for Synechocystis comprising 8783 predicted interactions.
Scientific Applications:
- Systems Biology: Enables reconstruction of organism-level protein interaction networks for systems-level analyses.
- Functional Genomics: Supports functional annotation and prediction of protein roles based on interaction context.
- Therapeutic Target Identification: Aids identification of candidate proteins and interaction partners as potential therapeutic targets.
- Evolutionary Studies: Facilitates comparative analyses to assess conservation and divergence of protein interactions across species.
- Pathway and Network Analysis: Assists analysis of metabolic pathways, signal transduction, and gene regulation through inferred PPIs.
Methodology:
InteroPORC integrates known interactions with clusters of orthologous proteins from the Integr8 database and employs interolog-based transfer to predict PPIs across sequenced genomes, exemplified by an 8783-interaction network for Synechocystis.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 5/16/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Michaut M, et al. InteroPORC: automated inference of highly conserved protein interaction networks. Bioinformatics. 2008; 24:1625-31. doi: 10.1093/bioinformatics/btn249
PMID: 18508856