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Pablo Echeverria (UNIGE, Geneva, Switzerland)In this post-genomic era, an increasing amount of data is generated by the application of high-throughput technologies for the elucidation of protein interaction (PPI) networks and for the determination of gene expression patterns of cell types and tissues. All these information can be exploited to build an updated picture of the current knowledge for a specific protein, protein complex or for a pathway of interest, with the goal to predict new functions and for improved rational target prioritization. Molecular chaperones guide proteins during their life, both under normal circumstances and following insults. Hsp90 in association with co-chaperones handles a subset of regulatory and signalling proteins. For Hsp90 and all its co-chaperones, I generated virtual PPI networks with the addition of Gene Ontology data to dissect subjacent significant functional clusters. These data were integrated with the information obtained from gene disruptions in mice and from microarray analysis in yeast for these proteins, performed in my host lab. The integration of this large amount of data in a comprehensive way requires the use of computational tools to dynamically combine, manipulate and visu