Emory University: MEDICI (Mining Essentiality Data to Identify Critical Interactions) for Cancer Drug Target Discovery and Development

The CTD2 Center at Emory University has developed a computational methodology to combine high-throughput knockdown data with known protein network topologies to infer the importance of protein-protein interactions (PPIs) for the survival of cancer cells.  Applying these data to the Achilles shRNA results, the CCLE cell line characterizations, and known and newly identified PPIs provides novel insights for potential new drug targets for cancer therapies and identifies important PPI hubs.

Read the abstract.

Experimental Approaches

Read the detailed Experimental Approaches

If you cannot access the manuscript, or if you have additional questions, please email Carlos Moreno.

Data

Access to the CTD2 Data Portal.

 

 

Last updated: January 31, 2017