TY - GEN
T1 - A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs
AU - Berlow, Noah
AU - Pal, Ranadip
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Drugs that target specific kinases are becoming common in cancer research. Cancer-related kinases are the paradigm of molecularly-targeted therapies, and a cornerstone of Personalized Cancer Therapy. Here, we present an approach to generate abstract circuit representations of cancer pathways from drug tumor sensitivity data of a cell line and utilize them to predict the sensitivities of a new drug given the kinase inhibitors of the drug and to design and measure the effectiveness of drug combination therapies.
AB - Drugs that target specific kinases are becoming common in cancer research. Cancer-related kinases are the paradigm of molecularly-targeted therapies, and a cornerstone of Personalized Cancer Therapy. Here, we present an approach to generate abstract circuit representations of cancer pathways from drug tumor sensitivity data of a cell line and utilize them to predict the sensitivities of a new drug given the kinase inhibitors of the drug and to design and measure the effectiveness of drug combination therapies.
UR - http://www.scopus.com/inward/record.url?scp=84863647737&partnerID=8YFLogxK
U2 - 10.1109/gensips.2011.6169435
DO - 10.1109/gensips.2011.6169435
M3 - Conference contribution
AN - SCOPUS:84863647737
SN - 9781467304900
T3 - Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
SP - 36
EP - 37
BT - Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
PB - IEEE Computer Society
Y2 - 4 December 2011 through 6 December 2011
ER -