HomoMINT: an inferred human network based on orthology mapping of protein interactions discovered in model organisms

Background: The application of high throughput approaches to the identification of protein interactions has offered for the first time a glimpse of the global interactome of some model organisms. Until now, however, such genome-wide approaches have not been applied to the human proteome. Results: In order to fill this gap we have assembled an inferred human protein interaction network where interactions discovered in model organisms are mapped onto the corresponding human orthologs. In addition to a stringent assignment to orthology classes based on the InParanoid algorithm, we have implemented a string matching algorithm to filter out orthology assignments of proteins whose global domain organization is not conserved. Finally, we have assessed the accuracy of our own, and related, inferred networks by benchmarking them against i) an assembled experimental interactome, ii) a network derived by mining of the scientific literature and iii) by measuring the enrichment of interacting prot...

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Maria Persico, Arnaud Ceol, Caius Gavrila, Robert Hoffmann, Arnaldo Florio, Gianni Cesareni
• Keywords: BMCBI 2005, Model Organisms, Protein, Protein Interaction