Through network biology analysis, Sage will use the genetic, molecular and clinical information to create predictive computational disease models. These models will help identify therapeutic targets for oncology drug development as well as aid in evaluating the efficacy and safety of drug development candidates.
Stephen Friend, president of Sage Bionetworks, said: “Our collaboration with Pfizer will help develop more innovative and more effective disease models and in turn help define specific patient sub-populations most likely to respond to new therapies.
“We continue to implement our partnering strategy as part of our larger mission to build a Commons where users can exploit the full potential of network analysis across multiple complex datasets. Data and models from the collaboration will become available in the Sage repository one year following the completion of the project expanding the datasets publicly available.”
Moreover, Sage Bionetworks has assembled key capabilities and resources to continue its success in network biology through the support of partners such as Quintiles, The CHDI Foundation, and the Canary Fund. Sage Bionetworks is located on the campus of the Fred Hutchinson Cancer Research Center, and works with a number of academic and commercial partners on integrative genomics projects and the creation of an accessible platform to share and data and improve analytical tools. Sage will continue to expand its Seattle team as a result of these agreements.