Target inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathways.

ABSTRACT: A recent trend in drug development is to identify drug combinations or multi-target agents that effectively modify multiple nodes of disease-associated networks. Such polypharmacological effects may reduce the risk of emerging drug resistance by means of attacking the disease networks through synergistic and synthetic lethal interactions. However, due to the exponentially increasing number of potential drug and target combinations, systematic approaches are needed for prioritizing the most potent multi-target alternatives on a global network level. We took a functional systems pharmacology approach toward the identification of selective target combinations for specific cancer cells by combining large-scale screening data on drug treatment efficacies and drug-target binding affinities. Our

SUBMITTER: Tang J 

PROVIDER: S-EPMC3772058 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature