Network-based Computational Drug Combination Prediction

Abstract

Cancers are complex diseases that are regulated by multiple signaling pathways. Patients often acquire resistance to single drug treatment. Use of drug combinations that target multiple parallel pathways is a promising strategy to reduce the drug resistance. Pharmacogenomics big data are being generated to uncover complex signaling mechanisms of cancers and correlate cancer-specific signaling with diverse drug responses. Thus, converting pharmacogenomics big data into knowledge can help the discovery of synergistic drug combination. However, it is challenging and remains an open problem due to the enormous number of combination possibilities and noise of genomics data.