RT Journal Article
SR Electronic
T1 Network-based Computational Drug Combination Prediction
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 049015
DO 10.1101/049015
A1 Fuhai Li
A1 Huang Lei
A1 Jianting Sheng
A1 Stephen Wong
YR 2016
UL http://biorxiv.org/content/early/2016/04/16/049015.abstract
AB 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.