TY - JOUR
T1 - Large-scale elucidation of drug response pathways in humans
AU - Silberberg, Yael
AU - Gottlieb, Assaf
AU - Kupiec, Martin
AU - Ruppin, Eytan
AU - Sharan, Roded
PY - 2012/2/1
Y1 - 2012/2/1
N2 - Elucidating signaling pathways is a fundamental step in understanding cellular processes and developing new therapeutic strategies. Here we introduce a method for the large-scale elucidation of signaling pathways involved in cellular response to drugs. Combining drug targets, drug response expression profiles, and the human physical interaction network, we infer 99 human drug response pathways and study their properties. Based on the newly inferred pathways, we develop a pathway-based drug-drug similarity measure and compare it to two common, gold standard drug-drug similarity measures. Remarkably, our measure provides better correspondence to these gold standards than similarity measures that are based on associations between drugs and known pathways, or on drug-specific gene expression profiles. It further improves the prediction of drug side effects and indications, elucidating specific response pathways that may be associated with these drug properties. Supplementary Material for this article is available at www.liebertonline.com/cmb.
AB - Elucidating signaling pathways is a fundamental step in understanding cellular processes and developing new therapeutic strategies. Here we introduce a method for the large-scale elucidation of signaling pathways involved in cellular response to drugs. Combining drug targets, drug response expression profiles, and the human physical interaction network, we infer 99 human drug response pathways and study their properties. Based on the newly inferred pathways, we develop a pathway-based drug-drug similarity measure and compare it to two common, gold standard drug-drug similarity measures. Remarkably, our measure provides better correspondence to these gold standards than similarity measures that are based on associations between drugs and known pathways, or on drug-specific gene expression profiles. It further improves the prediction of drug side effects and indications, elucidating specific response pathways that may be associated with these drug properties. Supplementary Material for this article is available at www.liebertonline.com/cmb.
KW - algorithms
KW - gene networks
KW - graphs and networks
KW - paths
UR - http://www.scopus.com/inward/record.url?scp=84856718385&partnerID=8YFLogxK
U2 - 10.1089/cmb.2011.0264
DO - 10.1089/cmb.2011.0264
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:84856718385
VL - 19
SP - 163
EP - 174
JO - Journal of Computational Biology
JF - Journal of Computational Biology
SN - 1066-5277
IS - 2
ER -