The work offers a proof of concept for the notion that dynamic models of signaling could serve as more effective biomarkers than discrete molecular markers.
DSysMap combines mutation information with protein interaction data to provide a clearer picture of functional changes associated with the development of complex diseases.
Using an algorithm known as HotNet2, an international team has identified more than a dozen genetically altered sub-networks in thousands of tumor samples assessed for the Cancer Genome Atlas project.
Researchers from the University of Toronto have created a map of the protein interactions of 19 members of the ATP-binding cassette transporter class in a species of yeast, combining this data with previously-reported ABC transporter interactions into a comprehensive "interactome
