The Dynactome program has been working to elucidate the cell signaling networks in both normal and disease states, with an emphasis on cancer metastasis. The outcomes of this approach have been the identification of proteins that are critical in cancer which will represent diagnostic or therapeutic targets for further study. For example, the team published data in the February 2009 issue of Nature Biotechnology which illustrated that changes in the biochemical wiring of oncogenic cells results in phenotypic transformations that directly affect disease outcome specifically in breast cancer patient cohorts. The research team also developed an algorithm, NetworKIN, which can predict kinases responsible for specific phosphorylations. This approach yields a 2.5-fold improvement in the accuracy with which phosphorylation networks can be constructed.