FUSE: A system for data-driven multi-level functional summarization of protein interaction networks

Abstract

Despite recent progress in high-throughput experimental studies, systems level visualization and analysis of large protein interaction networks (ppi) remains a challenging task, given its scale and high-dimensionality. Specifically, techniques that automatically abstract and summarize ppis at multiple resolutions to provide high level views of its functional landscape are still lacking. In this demonstration, we present a novel data-driven and generic system called fuse (Functional Summary Generator) that generates functional maps of a ppi at different levels of organization, from broad process-process level interactions to in-depth complex-complex level interactions. By simultaneously evaluating interaction and annotation data, fuse abstracts higher-order interaction maps by reducing the details of the underlying ppi to form a functional summary graph of interconnected functional clusters. We demonstrate various innovative features of fuse which aid users to visualize these summaries in a user-friendly manner and navigate through complex ppis. Copyright © 2012 ACM.